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For example: .example { color: red; } For brushing up on your CSS knowledge, check out http://www.w3schools.com/css/css_syntax.asp End of comment */ .envira-tags-filter-active{ border-radius: 0!important; background-color: transparent!important; color: black!important!important; border: 4px solid black!important; PADDING: 10PX 20PX!important;} .envira-tags-filter-link{ border-radius: 0!important; background-color: transparent!important; color: black!important; } .envira-tags-filter-list{ display: table!important; margin: 0 auto!important; padding-bottom: 40px!important;} .filters.rounded .sort { padding: 3px 20px; color: black!important; font-size: 18px; } .filters.rounded .current_choice { border-radius: 0!important; background-color: transparent!important; color: black!important; border: 4px solid black!important; } #portdark .thumb-wrap{pointer-events:none!important; cursor:normal!important}</style>   <style type="text/css"> /* Add your CSS code here. For example: .example { color: red; } For brushing up on your CSS knowledge, check out http://www.w3schools.com/css/css_syntax.asp End of comment */ #tree-container { display: flex; justify-content: center; } .node { cursor: pointer; } .overlay { background-color: black!important; } .node circle { stroke: steelblue; stroke-width: 1.5px; } .node text { font-size: 14px; font-family: sans-serif; } .link { fill: none; } div.tooltip { position: absolute; padding: 10px 15px; font: 12px sans-serif; background: lightsteelblue; border: 0px; border-radius: 8px; z-index: 1; box-shadow: 0 5px 10px rgba(0,0,0,0.2); } div.tooltip:empty { padding: 0; } div.tooltip p { margin: 5px 0 0; } </style>   <style type="text/css"> /* Add your CSS code here. 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color: #515151; line-height: 70px; letter-spacing: 0px; text-transform: none;} .style2-blog .post-nav, .style3-blog .post-nav, .style5-blog .post-nav, .style6-blog .post-nav{ display:none!important; } .single-post .section-overlay{ opacity: 0.5!important;} .single-post select{ width: 99%!important;} .single-post .hbspt-form input[type="text"]{ width: 95%!important;} .single-post .stacked .actions { margin-left: 0!important;margin-top:0px!important;padding-top:0px!important} .single-post .hs-button { display: table!important; margin: 0 auto!important; } .single-post .hbspt-form input[type="text"] { padding-bottom: 0px; width: 95%!important; } .single-post .hs-field-desc { width: 100%; color: #aaa; margin: 0px 0px 5px 150px; font-size: 11px; font-family: "Helvetica Neue",Helvetica,Arial,sans-serif; line-height: 15px; text-align: center; } .single-post .hs-form-required{display:none!important;} .single-post .hbspt-form { border: 1px solid #1fbdef!important; padding: 10px; } .single-post .hs-input {margin-bottom:0px!important} .single-post .hs-richtext h5 { font-family: Open Sans, Arial, sans-serif; font-size: 20px; text-align: center; color: #1fbdef; } #navigation-left-side { padding-right: 90px; } #navigation-right-side { padding-left: 90px; } #navigation-left-side a, #navigation-right-side a, #navigation a { padding: 0 10px!important;} .ui-accordion .ui-accordion-header.ui-state-active { background: #2CB5E9!important; } .ui-accordion .ui-accordion-header.ui-state-default { background: #428BCA; } body .ui-accordion .ui-accordion-header { margin-top: 1px; } body .ui-accordion .ui-accordion-header { padding: 14px 18px; color: #fff; font-size: 18px; } body .ui-accordion-header-icon.ui-icon.ui-icon-triangle-1-s, body .ui-accordion .ui-accordion-header.ui-state-active:hover .ui-accordion-header-icon.ui-icon.ui-icon-triangle-1-s { width: 24px; height: 24px; float: right!important; background: url(https://staging6.odsc.com/wp-content/themes/oshin/images/rounded_arrow_up.png) no-repeat center center transparent; } body .ui-accordion .ui-accordion-header .ui-accordion-header-icon { position: relative; left: auto; right: auto; top: 0; margin-top: 0; } .ui-icon.ui-icon-triangle-1-e, .ui-accordion .ui-accordion-header.ui-state-default:hover .ui-icon.ui-icon-triangle-1-e { width: 24px; height: 24px; float: right; background: url(https://staging6.odsc.com/wp-content/themes/oshin/images/rounded_arrow.png) no-repeat center center transparent; } .svg_container.big.handshake img { max-width: none; width: 56px; } p.date { color: #15c2e0; font-weight: bold; text-transform: uppercase; margin-bottom: 0; } .svg_container.big.handshake { padding: 25px 30px 20px 15px; } .svg_container.blue, .blue .svg_container { background: rgba(0, 188, 221, 0.32); } .svg_container.big { padding: 20px; width: 40px; height: 40px; } .svg_container { width: 28px; height: 28px; float: left; padding: 14px; margin-top: 0; margin-right: 14px; border-radius: 50%; }</style>   <style type="text/css"> /* Add your CSS code here. For example: .example { color: red; } For brushing up on your CSS knowledge, check out http://www.w3schools.com/css/css_syntax.asp End of comment */ #ptsTableInitEditHtmlDlg{width:100%!important} #odsc-tickets .groups__group { } @media only screen and (max-width: 960px){ body.sticky-header #header #header-inner-wrap.no-transparent { position: fixed!important; left: 0!important; right: 0 !important; top: 0px !important; }} .kolumnspec select { width: 100%!important; font: 400 18px "Source Sans Pro","Open Sans","Arial",sans-serif!important; border:none!important; height:41px!important; } .newslee input[type="email"]{ width: 100%!important;} .kolumnspec ul { list-style: none!important; } #odsc-tickets .groups__group:hover { background: #f7f5f5; } /* Timetable */ @media only screen and (min-width: 992px){ .tcode-event-schedule .scheduled-event .artist-image { height: 92px; width: 92px; } } .artist-image .img-responsive{border-radius: 50%;} @media only screen and (max-width: 767px){ .klasicc .tatsu-eq-cols .tatsu-column { min-height: 270px!important; } } /*register page*/ @media only screen and (max-width: 460px) { .fixe span{line-height:55px;} } .mobmenu{display:none!important;} .mobmenu-push-wrap, body.mob-menu-slideout-over { padding-top: 0px!important; } @media only screen and (max-width: 964px) { .page-id-161 #header-inner-wrap{ /* display:none!important;*/ } .page-id-161 .mobmenu{display:block!important;} .page-id-161 .mobmenu-push-wrap, .page-id-161 body.mob-menu-slideout-over { padding-top: 40px!important; } } .mptt-shortcode-wrapper .mptt-shortcode-table{ color: white; } .mptt-shortcode-wrapper .mptt-shortcode-table tr.mptt-shortcode-row th{ background-color: transparent; color: white; padding: 1rem; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody tr:nth-child(2n+2) { background-color: transparent; } .mptt-shortcode-wrapper .mptt-shortcode-table.mptt-theme-mode tbody td.event{ background-color: transparent; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody div[data-color="#48AFDE"] .event-subtitle, .mptt-shortcode-wrapper .mptt-shortcode-table tbody div[data-color="#48AFDE"] .timeslot{ color: white !important; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody .mptt-shortcode-event.mptt-event-vertical-top[colspan="4"] .mptt-event-container{ background-color: transparent !important; justify-content: center; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody .mptt-event-container .event-title{ font-weight: bold; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody [colspan="4"] .event-title{ font-size: 24px; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody .mptt-event-container:hover .event-title{ text-decoration: none !important; } .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17418"] .mptt-event-container, .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17423"] .mptt-event-container{ background-color: rgba(105, 217, 226, 0.15); } .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17418"] .mptt-event-container:hover, .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17423"] .mptt-event-container:hover{ background-color: rgba(105, 217, 226, .25); } .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17424"] .mptt-event-container, .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17425"] .mptt-event-container{ background-color: rgba(226, 152, 178, 0.15); } .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17424"] .mptt-event-container:hover, .mptt-shortcode-wrapper .mptt-shortcode-event.mptt-event-vertical-top[data-column-id="17425"] .mptt-event-container:hover{ background-color: rgba(226, 152, 178, .25); } .mptt-shortcode-list { color: white; } [data-event-id="17452"] .timeslot{ display: none; } .mptt-shortcode-wrapper .mptt-shortcode-table tbody .mptt-event-container[data-event-id="17452"] .event-subtitle { font-size: .9em; } .mfp-content { position: relative; background-color: #FFF; padding: 40px 20px; width: 90%; max-width: 700px; margin: 20px auto; } .mfp-content h4{ text-align: center; } .mfp-content .timeslots-title,.mfp-content .timeslot{ display: none; } .mfp-preloader{ color: black; } .mfp-content{ position: relative; background-color: #FFF!important; padding: 40px 20px; width: 90%; max-width: 700px; margin: 20px auto;} .mptt-event-container.id-56 a{ font-weight:bold; color: rgb(0, 188, 221)!important; } .mptt-event-container.id-56 a::before{ } .mptt-event-container.id-63,.mptt-event-container.id-64 { background-image: url(https://staging6.odsc.com/wp-content/uploads/2018/05/DinnerDS.jpg);} .mptt-event-container.id-121,.mptt-event-container.id-64 { background-image: url(https://staging6.odsc.com/wp-content/uploads/2017/09/Data-Robot-Networking-Party1.jpg);} .linkic{width: 100%; height: 100%; position: absolute;} .overl{ position: absolute; top: 35%; background: url(https://staging6.odsc.com/wp-content/uploads/2018/05/play-white.svg); width: 20%; background-repeat: no-repeat; left: 40%; height: 100%;} #hu-header-mobile .hu-header-logo { max-height: 75px; margin: 41px auto 0; display: none!important; } .agendica tbody tr:nth-child(2n+2) { background-color: transparent!important; } .agendica tr.mptt-shortcode-row th { background-color: transparent!important; } .agendica tbody td.event { background-color: transparent!important; } .agendica .mptt-shortcode-hours{color:white!important} .agendica th{color:white!important} .agendica .timeslot{color:white!important} .agendica .event-subtitle{color:white!important} .agendica .event-title{color:white!important} .price__table__column .column__header { height: 250px!important; } .price__table__column .column__header .column__desc { font-size: 15px!important; line-height: 20px!important; } .faq_categories .attending { background: url(images/attendee.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .attending.activated { background: url(images/attendee_light.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .hiring { background: url(images/hiring.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .hiring.activated { background: url(images/hiring_light.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .videos { background: url(images/videos.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .videos.activated { background: url(images/videos_light.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .speakers { background: url(images/speaker.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .speakers.activated { background: url(images/speaker_light.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .volunteers { background: url(images/volunteer.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .volunteers.activated { background: url(images/volunteer_light.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .sponsor { background: url(images/sponsor.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .sponsor.activated { background: url(images/sponsor_light.svg) no-repeat center 15px #fff; background-size: 37px; } .faq_categories .group-tickets { background: url(images/group.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .ticket-type { background: url(images/ticket.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .schedule, .faq_categories .odsc { background: url(images/schedule.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .refund-policy { background: url(images/refund.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .trainings { background: url(images/training.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .app-info { background: url(images/mobile.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .scholarships { background: url(images/scholarship.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .promotions-pricing { background: url(images/pricing.svg) no-repeat center 12px #fff; background-size: 27px; } .faq_categories .odsc-europe-2017, .faq_categories .odsc-west-2017, .faq_categories .odsc-east-2017 { background: url(images/logo.png) no-repeat center 10px #fff; background-size: 37px; padding-top: 35px; } .faq_categories li a { font-size: 15px; line-height: 20px; display: inline-block; width: 120px; height: 60px; padding-top: 60px; border-radius: 50%; -moz-border-radius: 50%; -webkit-border-radius: 50%; text-align: center; /* padding: 10px 15px 10px 50px; */ background: #fff; -webkit-box-shadow: 0px 3px 3px rgba(0,0,0,0.25); -moz-box-shadow: 0px 3px 3px rgba(0,0,0,0.25); box-shadow: 0px 3px 3px rgba(0,0,0,0.25); } @media only screen and (min-width: 992px){ .tcode-event-schedule .col-md-2 { width: 8.33333333%; } .tcode-event-schedule .col-md-9 { width: 83.33333333%; } .tcode-event-schedule .col-md-8{ width: 83.33333333%; } .tcode-event-schedule .col-md-offset-2 { margin-left: 8.33333333%; } } </style>   <script class="hsq-set-content-id" data-content-id="standard-page"> var _hsq = _hsq || []; _hsq.push(["setContentType", "standard-page"]); </script>  <noscript><style type="text/css">.mptt-shortcode-wrapper .mptt-shortcode-table:first-of-type{display:table!important}.mptt-shortcode-wrapper .mptt-shortcode-table .mptt-event-container:hover{height:auto!important;min-height:100%!important}body.mprm_ie .mptt-shortcode-wrapper .mptt-event-container{height:auto!important}@media (max-width:767px){.mptt-shortcode-wrapper .mptt-shortcode-table:first-of-type{display:none!important}}</style></noscript><meta name="facebook-domain-verification" content="am2vglo5kisnxesykxjg911bcapxcr" /> <script type="text/javascript"> var ajaxurl = 'https://odsc.com/wp-admin/admin-ajax.php'; </script> <script type='text/javascript'> var video_popup_unprm_general_settings = { 'unprm_r_border': '' }; </script> <style type="text/css" media="all" id="wcs_styles"></style><noscript><style>.wp-grid-builder .wpgb-card.wpgb-card-hidden .wpgb-card-wrapper{opacity:1!important;visibility:visible!important;transform:none!important}.wpgb-facet {opacity:1!important;pointer-events:auto!important}.wpgb-facet *:not(.wpgb-pagination-facet){display:none}</style></noscript>   <script data-cfasync="false" data-pagespeed-no-defer> var dataLayer_content = {"pagePostType":"page","pagePostType2":"single-page","pagePostAuthor":"odscadmin"}; dataLayer.push( dataLayer_content ); </script> <script data-cfasync="false"> (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= '//www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-M62L34N'); </script> <style id = "be-dynamic-css" type="text/css"> body { background-color: rgb(255,255,255);background-color: rgba(255,255,255,1);} .layout-box #header-inner-wrap, #header-inner-wrap, body.header-transparent #header #header-inner-wrap.no-transparent, .left-header .sb-slidebar.sb-left, .left-header .sb-slidebar.sb-left #slidebar-menu a::before { background-color: rgb(50,56,64);background-color: rgba(50,56,64,1);} #mobile-menu, #mobile-menu ul { background-color: rgb(50,56,64);background-color: rgba(50,56,64,1);} #mobile-menu li{ border-bottom-color: #efefef ; } body.header-transparent #header-inner-wrap{ background: transparent; } .be-gdpr-modal-item input:checked + .slider{ background-color: #00bcdd; } .be-gdpr-modal-iteminput:focus + .slider { box-shadow: 0 0 1px #00bcdd; } .be-gdpr-modal-item .slider:before { background-color:#ffffff; } .be-gdpr-cookie-notice-bar .be-gdpr-cookie-notice-button{ background: #00bcdd; color: #ffffff; } #header .header-border{ border-bottom: 0px none #00bcdd; } #header-top-bar{ background-color: rgb(21,22,26);background-color: rgba(21,22,26,1); border-bottom: 0px none #ffffff; color: #ffffff; } #header-top-bar #topbar-menu li a{ color: #ffffff; } #header-bottom-bar{ background-color: rgb(255,255,255);background-color: rgba(255,255,255,1); border-top: none #323232; border-bottom: none #323232; } /*Adjusted the timings for the new effects*/ body.header-transparent #header #header-inner-wrap { -webkit-transition: background .25s ease, box-shadow .25s ease, opacity 700ms cubic-bezier(0.645, 0.045, 0.355, 1), transform 700ms cubic-bezier(0.645, 0.045, 0.355, 1); -moz-transition: background .25s ease, box-shadow .25s ease, opacity 700ms cubic-bezier(0.645, 0.045, 0.355, 1), transform 700ms cubic-bezier(0.645, 0.045, 0.355, 1); 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} .layout-box-top, .layout-box-bottom, .layout-box-right, .layout-box-left, .layout-border-header-top #header-inner-wrap, .layout-border-header-top.layout-box #header-inner-wrap, body.header-transparent .layout-border-header-top #header #header-inner-wrap.no-transparent { background-color: rgb(211,211,211);background-color: rgba(211,211,211,1);} .left-header.left-sliding.left-overlay-menu .sb-slidebar{ background-color: rgb(8,8,8);background-color: rgba(8,8,8,0.90); } .top-header.top-overlay-menu .sb-slidebar{ background-color: rgb(26,26,26);background-color: rgba(26,26,26,1);} .search-box-wrapper{ background-color: rgb(255,255,255);background-color: rgba(255,255,255,0.85);} .search-box-wrapper.style1-header-search-widget input[type="text"]{ background-color: transparent !important; color: #000000; border: 1px solid #000000; } .search-box-wrapper.style2-header-search-widget input[type="text"]{ background-color: transparent !important; color: #000000; border: none !important; box-shadow: none !important; } .search-box-wrapper .searchform .search-icon{ color: #000000; } #header-top-bar-right .search-box-wrapper.style1-header-search-widget input[type="text"]{ border: none; } .post-title , .post-date-wrap { margin-bottom: 12px; } /* ====================== Dynamic Border Styling ====================== */ .layout-box-top, .layout-box-bottom { height: 30px; } .layout-box-right, .layout-box-left { width: 30px; } #main.layout-border, #main.layout-border.layout-border-header-top{ padding: 30px; } .left-header #main.layout-border { padding-left: 0px; } #main.layout-border.layout-border-header-top { padding-top: 0px; } .be-themes-layout-layout-border #logo-sidebar, .be-themes-layout-layout-border-header-top #logo-sidebar{ margin-top: 70px; } /*Left Static Menu*/ .left-header.left-static.be-themes-layout-layout-border #main-wrapper{ margin-left: 310px; } .left-header.left-static.be-themes-layout-layout-border .sb-slidebar.sb-left { left: 30px; } /*Right Slidebar*/ body.be-themes-layout-layout-border-header-top .sb-slidebar.sb-right, body.be-themes-layout-layout-border .sb-slidebar.sb-right { right: -250px; } .be-themes-layout-layout-border-header-top .sb-slidebar.sb-right.opened, .be-themes-layout-layout-border .sb-slidebar.sb-right.opened { right: 30px; } /* Top-overlay menu on opening, header moves sideways bug. Fixed on the next line code */ /*body.be-themes-layout-layout-border-header-top.top-header.slider-bar-opened #main #header #header-inner-wrap.no-transparent.top-animate, body.be-themes-layout-layout-border.top-header.slider-bar-opened #main #header #header-inner-wrap.no-transparent.top-animate { right: 310px; }*/ body.be-themes-layout-layout-border-header-top.top-header:not(.top-overlay-menu).slider-bar-opened #main #header #header-inner-wrap.no-transparent.top-animate, body.be-themes-layout-layout-border.top-header:not(.top-overlay-menu).slider-bar-opened #main #header #header-inner-wrap.no-transparent.top-animate { right: 310px; } /* Now not needed mostly, as the hero section image is coming properly */ /*Single Page Version*/ body.be-themes-layout-layout-border-header-top.single-page-version .single-page-nav-wrap, body.be-themes-layout-layout-border.single-page-version .single-page-nav-wrap { right: 50px; } /*Split Screen Page Template*/ .top-header .layout-border #content.page-split-screen-left { margin-left: calc(50% + 15px); } .top-header.page-template-page-splitscreen-left .layout-border .header-hero-section { width: calc(50% - 15px); } .top-header .layout-border #content.page-split-screen-right { width: calc(50% - 15px); } .top-header.page-template-page-splitscreen-right .layout-border .header-hero-section { left: calc(50% - 15px); } @media only screen and (max-width: 960px) { body.be-themes-layout-layout-border-header-top.single-page-version .single-page-nav-wrap, body.be-themes-layout-layout-border.single-page-version .single-page-nav-wrap { right: 35px; } body.be-themes-layout-layout-border-header-top .sb-slidebar.sb-right, body.be-themes-layout-layout-border .sb-slidebar.sb-right { right: -280px; } #main.layout-border, #main.layout-border.layout-border-header-top { padding: 0px !important; } .top-header .layout-border #content.page-split-screen-left, .top-header .layout-border #content.page-split-screen-right { margin-left: 0px; width:100%; } .top-header.page-template-page-splitscreen-right .layout-border .header-hero-section, .top-header.page-template-page-splitscreen-left .layout-border .header-hero-section { width:100%; } } body, .special-heading-wrap .caption-wrap .body-font, .woocommerce .woocommerce-ordering select.orderby, .woocommerce-page .woocommerce-ordering select.orderby { font: 400 18px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #5f6263; line-height: 26px; letter-spacing: 0px; text-transform: none; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; } h1 { font: 700 55px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 70px; letter-spacing: 0px; text-transform: none;} h2 { font: 700 42px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 63px; letter-spacing: 0px; text-transform: none;} h3 { font: 700 35px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 52px; letter-spacing: 1px; text-transform: none;} h4, .woocommerce-order-received .woocommerce h2, .woocommerce-order-received .woocommerce h3, .woocommerce-view-order .woocommerce h2, .woocommerce-view-order .woocommerce h3{ font: 400 26px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 42px; letter-spacing: 0px; text-transform: none;} h5, #reply-title { font: 400 20px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 36px; letter-spacing: 0px; text-transform: none; } h6, .testimonial-author-role.h6-font, .menu-card-title, .menu-card-item-price, .slider-counts, .woocommerce-MyAccount-navigation ul li { font: 400 15px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 32px; letter-spacing: 0px; text-transform: none;} h6.gallery-side-heading { font-size: 18px; } .special-subtitle , .style1.thumb-title-wrap .portfolio-item-cats { font-style: ; font-size: 15px; font-weight: ; font-family: Crimson Text; text-transform: none; letter-spacing: 0px; } .gallery-side-heading { font-size: 18px; } .attachment-details-custom-slider { background-color: rgb(0,0,0);background-color: rgba(0,0,0,1); font: 15px "Crimson Text","Open Sans","Arial",sans-serif; color: ; line-height: 15px; letter-spacing: 0px; text-transform: none;} .single-portfolio-slider .carousel_bar_wrap { background-color: rgb(255,255,255);background-color: rgba(255,255,255,0.5);} .top-right-sliding-menu .sb-right ul#slidebar-menu li, .overlay-menu-close, .be-overlay-menu-close { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 50px; letter-spacing: 1px; text-transform: uppercase;} .top-right-sliding-menu .sb-right ul#slidebar-menu li a { color: #ffffff !important; } .top-right-sliding-menu .sb-right #slidebar-menu ul.sub-menu li { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 25px; letter-spacing: ; text-transform: none;} .top-right-sliding-menu .sb-right ul#slidebar-menu li a { color: #ffffff !important; } .sb-right #slidebar-menu .mega .sub-menu .highlight .sf-with-ul { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 50px; letter-spacing: 1px; text-transform: uppercase; color: #ffffff !important; } .post-meta.post-top-meta-typo, .style8-blog .post-meta.post-category a, .hero-section-blog-categories-wrap a { font: 12px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #757575; line-height: 24px; letter-spacing: 0px; text-transform: uppercase;; } #portfolio-title-nav-bottom-wrap h6, #portfolio-title-nav-bottom-wrap .slider-counts { font: 400 15px "Montserrat","Open Sans","Arial",sans-serif; color: ; line-height: ; letter-spacing: 0px; text-transform: none;; line-height: 40px; } .filters .filter_item { font: 400 12px "Montserrat","Open Sans","Arial",sans-serif; color: #222222; line-height: 32px; letter-spacing: 1px; text-transform: uppercase;; } ul#mobile-menu a { font: 400 12px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 40px; letter-spacing: 1px; text-transform: uppercase;} ul#mobile-menu ul.sub-menu a { font: 400 13px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #bbbbbb; line-height: 27px; letter-spacing: 0px; text-transform: none; } ul#mobile-menu li.mega ul.sub-menu li.highlight > :first-child { font: 400 12px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 40px; letter-spacing: 1px; text-transform: uppercase;} #navigation, .style2 #navigation, .style13 #navigation, #navigation-left-side, #navigation-right-side, .sb-left #slidebar-menu, .header-widgets, .header-code-widgets, body #header-inner-wrap.top-animate.style2 #navigation, .top-overlay-menu .sb-right #slidebar-menu, #navigation .mega .sub-menu .highlight .sf-with-ul, .special-header-menu .menu-container { font: 600 16px "Montserrat","Open Sans","Arial",sans-serif; color: #00bcdd; line-height: 51px; letter-spacing: 1px; text-transform: uppercase;} #navigation .sub-menu, #navigation .children, #navigation-left-side .sub-menu, #navigation-left-side .children, #navigation-right-side .sub-menu, #navigation-right-side .children, .sb-left #slidebar-menu .sub-menu, .top-overlay-menu .sb-right #slidebar-menu .sub-menu, .special-header-menu .menu-container .sub-menu, .special-header-menu .sub-menu { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #bbbbbb; line-height: 28px; letter-spacing: 0px; text-transform: none;} .thumb-title-wrap .thumb-title { font: 400 14px "Montserrat","Open Sans","Arial",sans-serif; color: ; line-height: 30px; letter-spacing: 0px; text-transform: uppercase;} .thumb-title-wrap .portfolio-item-cats { font-size: 12px; line-height: 17px; text-transform: none; letter-spacing: 0px; } .full-screen-portfolio-overlay-title { font: 400 14px "Montserrat","Open Sans","Arial",sans-serif; color: ; line-height: 30px; letter-spacing: 0px; text-transform: uppercase;} #footer { font: 400 14px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 14px; letter-spacing: 0px; text-transform: none;} #bottom-widgets h6 { font: 400 18px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #474747; line-height: 22px; letter-spacing: 1px; text-transform: uppercase; margin-bottom:20px; } #bottom-widgets { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #757575; line-height: 24px; letter-spacing: 0px; text-transform: none;} .sidebar-widgets h6 { font: 400 18px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #333333; line-height: 22px; letter-spacing: 1px; text-transform: uppercase; margin-bottom:20px; } .sidebar-widgets { ?php be_themes_print_typography('sidebar_widget_text'); ?> } .sb-slidebar .widget { font: 400 14px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #a2a2a2; line-height: 25px; letter-spacing: 0px; text-transform: none;} .sb-slidebar .widget h6 { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #ffffff; line-height: 22px; letter-spacing: 1px; text-transform: none;} .woocommerce ul.products li.product .product-meta-data h3, .woocommerce-page ul.products li.product .product-meta-data h3, .woocommerce ul.products li.product h3, .woocommerce-page ul.products li.product h3 { font: 400 13px "Montserrat","Open Sans","Arial",sans-serif; color: #222222; line-height: 27px; letter-spacing: 1px; text-transform: uppercase;} .woocommerce ul.products li.product .product-meta-data .woocommerce-loop-product__title, .woocommerce-page ul.products li.product .product-meta-data .woocommerce-loop-product__title, .woocommerce ul.products li.product .woocommerce-loop-product__title, .woocommerce-page ul.products li.product .woocommerce-loop-product__title, .woocommerce ul.products li.product-category .woocommerce-loop-category__title, .woocommerce-page ul.products li.product-category .woocommerce-loop-category__title { font: 400 13px "Montserrat","Open Sans","Arial",sans-serif; color: #222222; line-height: 27px; letter-spacing: 1px; text-transform: uppercase; margin-bottom:5px; text-align: center; } .woocommerce-page.single.single-product #content div.product h1.product_title.entry-title { font: 400 25px "Montserrat","Open Sans","Arial",sans-serif; color: #222222; line-height: 27px; letter-spacing: 0px; text-transform: none;} .contact_form_module input[type="text"], .contact_form_module textarea { font: 400 13px "Montserrat","Open Sans","Arial",sans-serif; color: #222222; line-height: 26px; letter-spacing: 0px; text-transform: none;} .page-title-module-custom .page-title-custom, h6.portfolio-title-nav{ font: 400 18px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 36px; letter-spacing: 3px; text-transform: uppercase;} .tatsu-button, .be-button, .woocommerce a.button, .woocommerce-page a.button, .woocommerce button.button, .woocommerce-page button.button, .woocommerce input.button, .woocommerce-page input.button, .woocommerce #respond input#submit, .woocommerce-page #respond input#submit, .woocommerce #content input.button, .woocommerce-page #content input.button, input[type="submit"], .more-link.style1-button, .more-link.style2-button, .more-link.style3-button, input[type="button"], input[type="submit"], input[type="reset"], button, input[type="file"]::-webkit-file-upload-button { font-family: Source Sans Pro; font-weight: ; } .post-title , .post-date-wrap { font: 400 20px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #000000; line-height: 40px; letter-spacing: 0px; text-transform: none; margin-bottom: 12px; } .style3-blog .post-title, .style8-blog .post-title { font: 400 16px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #363c3b; line-height: 28px; letter-spacing: 0px; text-transform: none;} .post-nav li, .style8-blog .post-meta.post-date, .style8-blog .post-bottom-meta-wrap, .hero-section-blog-bottom-meta-wrap { font: 12px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #757575; line-height: 24px; letter-spacing: 0px; text-transform: uppercase;} .ui-tabs-anchor, .accordion .accordion-head, .skill-wrap .skill_name, .chart-wrap span, .animate-number-wrap h6 span, .woocommerce-tabs .tabs li a, .be-countdown { font-family: Source Sans Pro; letter-spacing: 0px; font-style: ; font-weight: 600; } .ui-tabs-anchor { font-size: 13px; line-height: 17px; text-transform: uppercase; } .accordion .accordion-head { font-size: 18px; line-height: 17px; text-transform: uppercase; } .skill-wrap .skill_name { font-size: 20px; line-height: 17px; text-transform: none; } .countdown-section { font-size: 15px; line-height: 30px; text-transform: uppercase; } .countdown-amount { font-size: 55px; line-height: 95px; text-transform: uppercase; } .tweet-slides .tweet-content { font-family: Source Sans Pro; letter-spacing: 0px; font-style: ; font-weight: ; text-transform: none; } .testimonial_slide .testimonial-content { font-family: Crimson Text; letter-spacing: 0px; font-style: ; font-weight: ; text-transform: none; } .oshine-animated-link, .view-project-link.style4-button { font-family: Montserrat; font-weight: ; letter-spacing: ; font-style: ; text-transform: none; } a.navigation-previous-post-link, a.navigation-next-post-link { font: 700 13px "Montserrat","Open Sans","Arial",sans-serif; color: ; line-height: 20px; letter-spacing: 0px; text-transform: none;; } @media only screen and (max-width : 767px ) { #hero-section h1 , .full-screen-section-wrap h1, .tatsu-fullscreen-wrap h1 { font-size: 30px; line-height: 40px; } #hero-section h2, .full-screen-section-wrap h2, .tatsu-fullscreen-wrap h2 { font-size: 25px; line-height: 35px; } #hero-section h4, .full-screen-section-wrap h4, .tatsu-fullscreen-wrap h3 { font-size: 16px; line-height: 30px; } #hero-section h5, .full-screen-section-wrap h5, .tatsu-fullscreen-wrap h5 { font-size: 16px; line-height: 30px; } } /* RELATED TO TYPOGRAPHY */ #header-controls-right, #header-controls-left { color: #00bcdd} #be-left-strip .be-mobile-menu-icon span { background-color: #323232} ul#mobile-menu .mobile-sub-menu-controller { line-height : 40px ; } ul#mobile-menu ul.sub-menu .mobile-sub-menu-controller{ line-height : 27px ; } .breadcrumbs { color: #515151; } .search-box-wrapper.style2-header-search-widget input[type="text"]{ font-style: ; font-weight: ; font-family: Crimson Text; } .portfolio-share a.custom-share-button, .portfolio-share a.custom-share-button:active, .portfolio-share a.custom-share-button:hover, .portfolio-share a.custom-share-button:visited { color: #515151; } .more-link.style2-button { color: #000000 !important; border-color: #000000 !important; } .style8-blog .post-bottom-meta-wrap .be-share-stack a.custom-share-button, .style8-blog .post-bottom-meta-wrap .be-share-stack a.custom-share-button:active, .style8-blog .post-bottom-meta-wrap .be-share-stack a.custom-share-button:hover, .style8-blog .post-bottom-meta-wrap .be-share-stack a.custom-share-button:visited { color: #757575; } .hero-section-blog-categories-wrap a, .hero-section-blog-categories-wrap a:visited, .hero-section-blog-categories-wrap a:hover, .hero-section-blog-bottom-meta-wrap .hero-section-blog-bottom-meta-wrap a, .hero-section-blog-bottom-meta-wrap a:visited, .hero-section-blog-bottom-meta-wrap a:hover { color : #000000; } #navigation .mega .sub-menu .highlight .sf-with-ul { color: #bbbbbb !important; line-height:1.5; } .view-project-link.style4-button { color : #515151; } .pricing-table .pricing-feature{ font-size: 17px; } /* Woocommerce */ .related.products h2, .upsells.products h2, .cart-collaterals .cross-sells h2, .cart_totals h2, .shipping_calculator h2, .woocommerce-billing-fields h3, .woocommerce-shipping-fields h3, .shipping_calculator h2, #order_review_heading, .woocommerce .page-title { font-family: Montserrat; font-weight: 400; } .woocommerce form .form-row label, .woocommerce-page form .form-row label { color: #515151; } .woocommerce-tabs .tabs li a { color: #515151 !important; } /* BB Press Plugin */ a.bbp-forum-title, #bbpress-forums fieldset.bbp-form label, .bbp-topic-title a.bbp-topic-permalink { font: 400 15px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 32px; letter-spacing: 0px; text-transform: none;} #bbpress-forums ul.forum-titles li, #bbpress-forums ul.bbp-replies li.bbp-header { font: 400 15px "Source Sans Pro","Open Sans","Arial",sans-serif; color: #515151; line-height: 32px; letter-spacing: 0px; text-transform: none; line-height: inherit; letter-spacing: inherit; text-transform: uppercase; font-size: inherit; } #bbpress-forums .topic .bbp-topic-meta a, .bbp-forum-freshness a, .bbp-topic-freshness a, .bbp-header .bbp-reply-content a, .bbp-topic-tags a, .bbp-breadcrumb a, .bbp-forums-list a { color: #515151; } /*Event On Plugin*/ .ajde_evcal_calendar .calendar_header p, .eventon_events_list .eventon_list_event .evcal_cblock { font-family: Source Sans Pro !important; } .eventon_events_list .eventon_list_event .evcal_desc span.evcal_desc2, .evo_pop_body .evcal_desc span.evcal_desc2 { font-family: Source Sans Pro !important; font-size: 14px !important; text-transform: none; } .eventon_events_list .eventon_list_event .evcal_desc span.evcal_event_subtitle, .evo_pop_body .evcal_desc span.evcal_event_subtitle, .evcal_evdata_row .evcal_evdata_cell p, #evcal_list .eventon_list_event p.no_events { text-transform: none !important; font-family: Source Sans Pro !important; font-size: inherit !important; } /* END RELATED TO TYPOGRAPHY */ .filters.single_border .filter_item{ border-color: #00bcdd; } .filters.rounded .current_choice{ border-radius: 50px; background-color: #00bcdd; color: #ffffff; } .filters.single_border .current_choice, .filters.border .current_choice{ color: #00bcdd; } .exclusive-mobile-bg .menu-controls{ background-color: background-color: rgb(255,255,255);background-color: rgba(255,255,255,0);; } #header .be-mobile-menu-icon span { background-color : #323232; } #header-controls-right, #header-controls-left, .overlay-menu-close, .be-overlay-menu-close { color : #323232; } #header .exclusive-mobile-bg .be-mobile-menu-icon, #header .exclusive-mobile-bg .be-mobile-menu-icon span, #header-inner-wrap.background--light.transparent.exclusive-mobile-bg .be-mobile-menu-icon, #header-inner-wrap.background--light.transparent.exclusive-mobile-bg .be-mobile-menu-icon span, #header-inner-wrap.background--dark.transparent.exclusive-mobile-bg .be-mobile-menu-icon, #header-inner-wrap.background--dark.transparent.exclusive-mobile-bg .be-mobile-menu-icon span { background-color: #323232} .be-mobile-menu-icon{ width: 18px; height: 2px; } .be-mobile-menu-icon .hamburger-line-1{ top: -5px; } .be-mobile-menu-icon .hamburger-line-3{ top: 5px; } .thumb-title-wrap { color: #ffffff; } #bottom-widgets .widget ul li a, #bottom-widgets a { color: inherit; } #bottom-widgets .tagcloud a:hover { color: #ffffff; } a, a:visited, a:hover, #bottom-widgets .widget ul li a:hover, #bottom-widgets a:hover{ color: #00bcdd; } #header-top-menu a:hover, #navigation .current_page_item a, #navigation .current_page_item a:hover, #navigation a:hover, #navigation-left-side .current_page_item a, #navigation-left-side .current_page_item a:hover, #navigation-left-side a:hover, #navigation-right-side .current_page_item a, #navigation-right-side .current_page_item a:hover, #navigation-right-side a:hover, #menu li.current-menu-ancestor > a, #navigation .current-menu-item > a, #navigation .sub-menu .current-menu-item > a, #navigation .sub-menu a:hover, #navigation .children .current-menu-item > a, #navigation .children a:hover, #slidebar-menu .current-menu-item > a, .special-header-menu a:hover + .mobile-sub-menu-controller i, .special-header-menu #slidebar-menu a:hover, .special-header-menu .sub-menu a:hover, .single-page-version #navigation a:hover, .single-page-version #navigation-left-side a:hover, .single-page-version #navigation-right-side a:hover, .single-page-version #navigation .current-section.current_page_item a, .single-page-version #navigation-left-side .current-section.current_page_item a, .single-page-version #navigation-right-side .current-section.current_page_item a, .single-page-version #slidebar-menu .current-section.current_page_item a, .single-page-version #navigation .current_page_item a:hover, .single-page-version #navigation-left-side .current_page_item a:hover, .single-page-version #navigation-right-side .current_page_item a:hover, .single-page-version #slidebar-menu .current_page_item a:hover, .be-sticky-sections #navigation a:hover, .be-sticky-sections #navigation-left-side a:hover, .be-sticky-sections #navigation-right-side a:hover, .be-sticky-sections #navigation .current-section.current_page_item a, .be-sticky-sections #navigation-left-side .current-section.current_page_item a, .be-sticky-sections #navigation-right-side .current-section.current_page_item a, .be-sticky-sections #navigation .current_page_item a:hover, .be-sticky-sections #navigation-left-side .current_page_item a:hover, .be-sticky-sections #navigation-right-side .current_page_item a:hover, #navigation .current-menu-ancestor > a, #navigation-left-side .current-menu-ancestor > a, #navigation-right-side .current-menu-ancestor > a, #slidebar-menu .current-menu-ancestor > a, .special-header-menu .current-menu-item > a, .sb-left #slidebar-menu a:hover { color: #ffffff; } #navigation .current_page_item ul li a, #navigation-left-side .current_page_item ul li a, #navigation-right-side .current_page_item ul li a, .single-page-version #navigation .current_page_item a, .single-page-version #navigation-left-side .current_page_item a, .single-page-version #navigation-right-side .current_page_item a, .single-page-version #slidebar-menu .current_page_item a, .single-page-version #navigation .sub-menu .current-menu-item > a, .single-page-version #navigation .children .current-menu-item > a .be-sticky-sections #navigation .current_page_item a, .be-sticky-sections #navigation-left-side .current_page_item a, .be-sticky-sections #navigation-right-side .current_page_item a, .be-sticky-sections #navigation .sub-menu .current-menu-item > a, .be-sticky-sections #navigation .children .current-menu-item > a { color: inherit; } .be-nav-link-effect-1 a::after, .be-nav-link-effect-2 a::after, .be-nav-link-effect-3 a::after{ background-color: rgb(255,255,255);background-color: rgba(255,255,255,1);} #portfolio-title-nav-wrap .portfolio-nav a { color: #00bcdd; } #portfolio-title-nav-wrap .portfolio-nav a .home-grid-icon span{ background-color: #00bcdd; } #portfolio-title-nav-wrap .portfolio-nav a:hover { color: #323840; } #portfolio-title-nav-wrap .portfolio-nav a:hover .home-grid-icon span{ background-color: #323840; } .page-title-module-custom .header-breadcrumb { line-height: 36px; } #portfolio-title-nav-bottom-wrap h6, #portfolio-title-nav-bottom-wrap ul li a, .single_portfolio_info_close, #portfolio-title-nav-bottom-wrap .slider-counts{ background-color: rgb(255,255,255);background-color: rgba(255,255,255,0);} .more-link.style2-button:hover { border-color: #00bcdd !important; background: #00bcdd !important; color: #ffffff !important; } .woocommerce a.button, .woocommerce-page a.button, .woocommerce button.button, .woocommerce-page button.button, .woocommerce input.button, .woocommerce-page input.button, .woocommerce #respond input#submit, .woocommerce-page #respond input#submit, .woocommerce #content input.button, .woocommerce-page #content input.button { background: transparent !important; color: #000 !important; border-color: #000 !important; border-style: solid !important; border-width: 2px !important; background: transparent !important; color: #000000 !important; border-width: 2px !important; border-color: #000000 !important; line-height: 41px; text-transform: uppercase; } .woocommerce a.button:hover, .woocommerce-page a.button:hover, .woocommerce button.button:hover, .woocommerce-page button.button:hover, .woocommerce input.button:hover, .woocommerce-page input.button:hover, .woocommerce #respond input#submit:hover, .woocommerce-page #respond input#submit:hover, .woocommerce #content input.button:hover, .woocommerce-page #content input.button:hover { background: #e0a240 !important; color: #fff !important; border-color: #e0a240 !important; border-width: 2px !important; background: #e0a240 !important; color: #ffffff !important; border-color: #e0a240 !important; } .woocommerce a.button.alt, .woocommerce-page a.button.alt, .woocommerce .button.alt, .woocommerce-page .button.alt, .woocommerce input.button.alt, .woocommerce-page input.button.alt, .woocommerce input[type="submit"].alt, .woocommerce-page input[type="submit"].alt, .woocommerce #respond input#submit.alt, .woocommerce-page #respond input#submit.alt, .woocommerce #content input.button.alt, .woocommerce-page #content input.button.alt { background: #e0a240 !important; color: #fff !important; border-color: #e0a240 !important; border-style: solid !important; border-width: 2px !important; background: #e0a240 !important; color: #ffffff !important; border-width: 2px !important; border-color: #e0a240 !important; line-height: 41px; text-transform: uppercase; } .woocommerce a.button.alt:hover, .woocommerce-page a.button.alt:hover, .woocommerce .button.alt:hover, .woocommerce-page .button.alt:hover, .woocommerce input[type="submit"].alt:hover, .woocommerce-page input[type="submit"].alt:hover, .woocommerce input.button.alt:hover, .woocommerce-page input.button.alt:hover, .woocommerce #respond input#submit.alt:hover, .woocommerce-page #respond input#submit.alt:hover, .woocommerce #content input.button.alt:hover, .woocommerce-page #content input.button.alt:hover { background: transparent !important; color: #000 !important; border-color: #000 !important; border-style: solid !important; border-width: 2px !important; background: transparent !important; color: #000000 !important; border-color: #000000 !important; } .woocommerce .woocommerce-message a.button, .woocommerce-page .woocommerce-message a.button, .woocommerce .woocommerce-message a.button:hover, .woocommerce-page .woocommerce-message a.button:hover { border: none !important; color: #fff !important; background: none !important; } .woocommerce .woocommerce-ordering select.orderby, .woocommerce-page .woocommerce-ordering select.orderby { border-color: #eeeeee; } .style7-blog .post-title{ margin-bottom: 9px; } .style8-blog .post-comment-wrap a:hover{ color : #00bcdd; } .style8-blog .element:not(.be-image-post) .post-details-wrap{ background-color: #ffffff ; } .accordion .accordion-head.with-bg.ui-accordion-header-active{ background-color: #00bcdd; color: #ffffff !important; } #portfolio-title-nav-wrap{ padding-top: 15px; padding-bottom: 15px; border-bottom: 1px solid #cecece; } #portfolio-title-nav-bottom-wrap h6, #portfolio-title-nav-bottom-wrap ul, .single_portfolio_info_close .font-icon, .slider-counts{ color: #2b2b2b ; } #portfolio-title-nav-bottom-wrap .home-grid-icon span{ background-color: #2b2b2b ; } #portfolio-title-nav-bottom-wrap h6:hover, #portfolio-title-nav-bottom-wrap ul a:hover, #portfolio-title-nav-bottom-wrap .slider-counts:hover, .single_portfolio_info_close:hover { background-color: rgb(235,73,73);background-color: rgba(235,73,73,0.85);} #portfolio-title-nav-bottom-wrap h6:hover, #portfolio-title-nav-bottom-wrap ul a:hover, #portfolio-title-nav-bottom-wrap .slider-counts:hover, .single_portfolio_info_close:hover .font-icon{ color: #ffffff ; } #portfolio-title-nav-bottom-wrap ul a:hover .home-grid-icon span{ background-color: #ffffff ; } /* ====================== Layout ====================== */ body #header-inner-wrap.top-animate #navigation, body #header-inner-wrap.top-animate .header-controls, body #header-inner-wrap.stuck #navigation, body #header-inner-wrap.stuck .header-controls { -webkit-transition: line-height 0.5s ease; -moz-transition: line-height 0.5s ease; -ms-transition: line-height 0.5s ease; -o-transition: line-height 0.5s ease; transition: line-height 0.5s ease; } .header-cart-controls .cart-contents span{ background: #646464; } .header-cart-controls .cart-contents span{ color: #f5f5f5; } .left-sidebar-page, .right-sidebar-page, .no-sidebar-page .be-section-pad:first-child, .page-template-page-940-php #content , .no-sidebar-page #content-wrap, .portfolio-archives.no-sidebar-page #content-wrap { padding-top: 80px; padding-bottom: 80px; } .no-sidebar-page #content-wrap.page-builder{ padding-top: 0px; padding-bottom: 0px; } .left-sidebar-page .be-section:first-child, .right-sidebar-page .be-section:first-child, .dual-sidebar-page .be-section:first-child { padding-top: 0 !important; } .style1 .logo, .style4 .logo, #left-header-mobile .logo, .style3 .logo, .style7 .logo, .style10 .logo{ padding-top: 15px; padding-bottom: 15px; } .style5 .logo, .style6 .logo{ margin-top: 15px; margin-bottom: 15px; } #footer-wrap { padding-top: 25px; padding-bottom: 25px; } /* ====================== Colors ====================== */ .sec-bg, .gallery_content, .fixed-sidebar-page .fixed-sidebar, .style3-blog .blog-post.element .element-inner, .style4-blog .blog-post, .blog-post.format-link .element-inner, .blog-post.format-quote .element-inner, .woocommerce ul.products li.product, .woocommerce-page ul.products li.product, .chosen-container.chosen-container-single .chosen-drop, .chosen-container.chosen-container-single .chosen-single, .chosen-container.chosen-container-active.chosen-with-drop .chosen-single { background: #fafbfd; } .sec-color, .post-meta a, .pagination a, .pagination a:visited, .pagination span, .pages_list a, input[type="text"], input[type="email"], input[type="password"], textarea, .gallery_content, .fixed-sidebar-page .fixed-sidebar, .style3-blog .blog-post.element .element-inner, .style4-blog .blog-post, .blog-post.format-link .element-inner, .blog-post.format-quote .element-inner, .woocommerce ul.products li.product, .woocommerce-page ul.products li.product, .chosen-container.chosen-container-single .chosen-drop, .chosen-container.chosen-container-single .chosen-single, .chosen-container.chosen-container-active.chosen-with-drop .chosen-single { color: #7a7a7a; } .woocommerce .quantity .plus, .woocommerce .quantity .minus, .woocommerce #content .quantity .plus, .woocommerce #content .quantity .minus, .woocommerce-page .quantity .plus, .woocommerce-page .quantity .minus, .woocommerce-page #content .quantity .plus, .woocommerce-page #content .quantity .minus, .woocommerce .quantity input.qty, .woocommerce #content .quantity input.qty, .woocommerce-page .quantity input.qty, .woocommerce-page #content .quantity input.qty { background: #fafbfd; color: #7a7a7a; border-color: #eeeeee; } .woocommerce div.product .woocommerce-tabs ul.tabs li, .woocommerce #content div.product .woocommerce-tabs ul.tabs li, .woocommerce-page div.product .woocommerce-tabs ul.tabs li, .woocommerce-page #content div.product .woocommerce-tabs ul.tabs li { color: #7a7a7a!important; } .chosen-container .chosen-drop, nav.woocommerce-pagination, .summary.entry-summary .price, .portfolio-details.style2 .gallery-side-heading-wrap, #single-author-info, .single-page-atts, article.comment { border-color: #eeeeee !important; } .fixed-sidebar-page #page-content{ background: #ffffff; } .sec-border, input[type="text"], input[type="email"], input[type="tel"], input[type="password"], textarea { border: 2px solid #eeeeee; } .chosen-container.chosen-container-single .chosen-single, .chosen-container.chosen-container-active.chosen-with-drop .chosen-single { border: 2px solid #eeeeee; } .woocommerce table.shop_attributes th, .woocommerce-page table.shop_attributes th, .woocommerce table.shop_attributes td, .woocommerce-page table.shop_attributes td { border: none; border-bottom: 1px solid #eeeeee; padding-bottom: 5px; } .woocommerce .widget_price_filter .price_slider_wrapper .ui-widget-content, .woocommerce-page .widget_price_filter .price_slider_wrapper .ui-widget-content{ border: 1px solid #eeeeee; } .pricing-table .pricing-title, .chosen-container .chosen-results li { border-bottom: 1px solid #eeeeee; } .separator { border:0; height:1px; color: #eeeeee; background-color: #eeeeee; } .alt-color, li.ui-tabs-active h6 a, a, a:visited, .social_media_icons a:hover, .post-title a:hover, .fn a:hover, a.team_icons:hover, .recent-post-title a:hover, .widget_nav_menu ul li.current-menu-item a, .widget_nav_menu ul li.current-menu-item:before, .woocommerce ul.cart_list li a:hover, .woocommerce ul.product_list_widget li a:hover, .woocommerce-page ul.cart_list li a:hover, .woocommerce-page ul.product_list_widget li a:hover, .woocommerce-page .product-categories li a:hover, .woocommerce ul.products li.product .product-meta-data h3:hover, .woocommerce table.cart a.remove:hover, .woocommerce #content table.cart a.remove:hover, .woocommerce-page table.cart a.remove:hover, .woocommerce-page #content table.cart a.remove:hover, td.product-name a:hover, .woocommerce-page #content .quantity .plus:hover, .woocommerce-page #content .quantity .minus:hover, .post-category a:hover, a.custom-like-button.liked, .menu-card-item-stared { color: #00bcdd; } .content-slide-wrap .flex-control-paging li a.flex-active, .content-slide-wrap .flex-control-paging li.flex-active a:before { background: #00bcdd !important; border-color: #00bcdd !important; } #navigation .menu > ul > li.mega > ul > li { border-color: #3d3d3d; } .sb-slidebar.sb-right .menu{ border-top: 1px solid #2d2d2d; border-bottom: 1px solid #2d2d2d; } .post-title a:hover { color: #00bcdd !important; } .alt-bg, input[type="submit"], .tagcloud a:hover, .pagination a:hover, .widget_tag_cloud a:hover, .pagination .current, .trigger_load_more .be-button, .trigger_load_more .be-button:hover { background-color: #00bcdd; transition: 0.2s linear all; } .mejs-controls .mejs-time-rail .mejs-time-current , .mejs-controls .mejs-horizontal-volume-slider .mejs-horizontal-volume-current, .woocommerce span.onsale, .woocommerce-page span.onsale, .woocommerce a.add_to_cart_button.button.product_type_simple.added, .woocommerce-page .widget_shopping_cart_content .buttons a.button:hover, .woocommerce nav.woocommerce-pagination ul li span.current, .woocommerce nav.woocommerce-pagination ul li a:hover, .woocommerce nav.woocommerce-pagination ul li a:focus, .testimonial-flex-slider .flex-control-paging li a.flex-active, #back-to-top, .be-carousel-nav, .portfolio-carousel .owl-controls .owl-prev:hover, .portfolio-carousel .owl-controls .owl-next:hover, .owl-theme .owl-controls .owl-dot.active span, .owl-theme .owl-controls .owl-dot:hover span, .more-link.style3-button, .view-project-link.style3-button{ background: #00bcdd !important; } .single-page-nav-link.current-section-nav-link { background: #ffffff !important; } .view-project-link.style2-button, .single-page-nav-link.current-section-nav-link { border-color: #00bcdd !important; } .view-project-link.style2-button:hover { background: #00bcdd !important; color: #ffffff !important; } .tagcloud a:hover, .testimonial-flex-slider .flex-control-paging li a.flex-active, .testimonial-flex-slider .flex-control-paging li a { border-color: #00bcdd; } a.be-button.view-project-link, .more-link { border-color: #00bcdd; } .portfolio-container .thumb-bg { background-color: rgba(0,188,221,0.85); } .photostream_overlay, .be-button, .more-link.style3-button, .view-project-link.style3-button, button, input[type="button"], input[type="submit"], input[type="reset"] { background-color: #00bcdd; } input[type="file"]::-webkit-file-upload-button{ background-color: #00bcdd; } .alt-bg-text-color, input[type="submit"], .tagcloud a:hover, .pagination a:hover, .widget_tag_cloud a:hover, .pagination .current, .woocommerce nav.woocommerce-pagination ul li span.current, .woocommerce nav.woocommerce-pagination ul li a:hover, .woocommerce nav.woocommerce-pagination ul li a:focus, #back-to-top, .be-carousel-nav, .single_portfolio_close .font-icon, .single_portfolio_back .font-icon, .more-link.style3-button, .view-project-link.style3-button, .trigger_load_more a.be-button, .trigger_load_more a.be-button:hover, .portfolio-carousel .owl-controls .owl-prev:hover .font-icon, .portfolio-carousel .owl-controls .owl-next:hover .font-icon{ color: #ffffff; transition: 0.2s linear all; } .woocommerce .button.alt.disabled { background: #efefef !important; color: #a2a2a2 !important; border: none !important; cursor: not-allowed; } .be-button, input[type="button"], input[type="submit"], input[type="reset"], button { color: #ffffff; transition: 0.2s linear all; } input[type="file"]::-webkit-file-upload-button { color: #ffffff; transition: 0.2s linear all; } .button-shape-rounded #submit, .button-shape-rounded .style2-button.view-project-link, .button-shape-rounded .style3-button.view-project-link, .button-shape-rounded .style2-button.more-link, .button-shape-rounded .style3-button.more-link, .button-shape-rounded .contact_submit { border-radius: 3px; } .button-shape-circular .style2-button.view-project-link, .button-shape-circular .style3-button.view-project-link{ border-radius: 50px; padding: 17px 30px !important; } .button-shape-circular .style2-button.more-link, .button-shape-circular .style3-button.more-link{ border-radius: 50px; padding: 7px 30px !important; } .button-shape-circular .contact_submit, .button-shape-circular #submit{ border-radius: 50px; padding-left: 30px; padding-right: 30px; } .view-project-link.style4-button:hover::after{ border-color : #00bcdd; } .mfp-arrow{ color: #ffffff; transition: 0.2s linear all; -moz-transition: 0.2s linear all; -o-transition: 0.2s linear all; transition: 0.2s linear all; } .portfolio-title a { color: inherit; } .arrow-block .arrow_prev, .arrow-block .arrow_next, .arrow-block .flickity-prev-next-button { background-color: rgb(0,0,0);background-color: rgba(0,0,0,1);} .arrow-border .arrow_prev, .arrow-border .arrow_next, .arrow-border .flickity-prev-next-button { border: 1px solid #000000; } .gallery-info-box-wrap .arrow_prev .font-icon, .gallery-info-box-wrap .arrow_next .font-icon{ color: #ffffff; } .flickity-prev-next-button .arrow{ fill: #ffffff; } .arrow-block .arrow_prev:hover, .arrow-block .arrow_next:hover, .arrow-block .flickity-prev-next-button:hover { background-color: rgb(0,0,0);background-color: rgba(0,0,0,1);} .arrow-border .arrow_prev:hover, .arrow-border .arrow_next:hover, .arrow-border .flickity-prev-next-button:hover { border: 1px solid #000000; } .gallery-info-box-wrap .arrow_prev:hover .font-icon, .gallery-info-box-wrap .arrow_next:hover .font-icon{ color: #ffffff; } .flickity-prev-next-button:hover .arrow{ fill: #ffffff; } #back-to-top.layout-border, #back-to-top.layout-border-header-top { right: 50px; bottom: 50px; } .layout-border .fixed-sidebar-page #right-sidebar.active-fixed { right: 30px; } body.header-transparent.admin-bar .layout-border #header #header-inner-wrap.no-transparent.top-animate, body.sticky-header.admin-bar .layout-border #header #header-inner-wrap.no-transparent.top-animate { top: 62px; } body.header-transparent .layout-border #header #header-inner-wrap.no-transparent.top-animate, body.sticky-header .layout-border #header #header-inner-wrap.no-transparent.top-animate { top: 30px; } body.header-transparent.admin-bar .layout-border.layout-border-header-top #header #header-inner-wrap.no-transparent.top-animate, body.sticky-header.admin-bar .layout-border.layout-border-header-top #header #header-inner-wrap.no-transparent.top-animate { top: 32px; z-index: 15; } body.header-transparent .layout-border.layout-border-header-top #header #header-inner-wrap.no-transparent.top-animate, body.sticky-header .layout-border.layout-border-header-top #header #header-inner-wrap.no-transparent.top-animate { top: 0px; z-index: 15; } body.header-transparent .layout-border #header #header-inner-wrap.no-transparent #header-wrap, body.sticky-header .layout-border #header #header-inner-wrap.no-transparent #header-wrap { margin: 0px 30px; -webkit-box-sizing: border-box; -moz-box-sizing: border-box; box-sizing: border-box; position: relative; } .mfp-content.layout-border img { padding: 70px 0px 70px 0px; } body.admin-bar .mfp-content.layout-border img { padding: 102px 0px 70px 0px; } .mfp-content.layout-border .mfp-bottom-bar { margin-top: -60px; } body .mfp-content.layout-border .mfp-close { top: 30px; } body.admin-bar .mfp-content.layout-border .mfp-close { top: 62px; } pre { background-image: -webkit-repeating-linear-gradient(top, #FFFFFF 0px, #FFFFFF 30px, #fafbfd 24px, #fafbfd 56px); background-image: -moz-repeating-linear-gradient(top, #FFFFFF 0px, #FFFFFF 30px, #fafbfd 24px, #fafbfd 56px); background-image: -ms-repeating-linear-gradient(top, #FFFFFF 0px, #FFFFFF 30px, #fafbfd 24px, #fafbfd 56px); background-image: -o-repeating-linear-gradient(top, #FFFFFF 0px, #FFFFFF 30px, #fafbfd 24px, #fafbfd 56px); background-image: repeating-linear-gradient(top, #FFFFFF 0px, #FFFFFF 30px, #fafbfd 24px, #fafbfd 56px); display: block; line-height: 28px; margin-bottom: 50px; overflow: auto; padding: 0px 10px; border:1px solid #eeeeee; } .post-title a{ color: inherit; } /*Animated link Typography*/ .be-sidemenu, .special-header-menu a::before{ background-color: rgb(26,26,26);background-color: rgba(26,26,26,1);} /*For normal styles add the padding in top and bottom*/ .be-themes-layout-layout-border .be-sidemenu, .be-themes-layout-layout-border .be-sidemenu, .be-themes-layout-layout-border-header-top .be-sidemenu, .be-themes-layout-layout-border-header-top .be-sidemenu{ padding: 30px 0px; box-sizing: border-box; } /*For center-align and left-align overlay, add padding to all sides*/ .be-themes-layout-layout-border.overlay-left-align-menu .be-sidemenu, .be-themes-layout-layout-border.overlay-center-align-menu .be-sidemenu, .be-themes-layout-layout-border-header-top.overlay-left-align-menu .be-sidemenu, .be-themes-layout-layout-border-header-top.overlay-center-align-menu .be-sidemenu{ padding: 30px; box-sizing: border-box; } .be-themes-layout-layout-border-header-top .be-sidemenu{ padding-top: 0px; } body.perspective-left.perspectiveview, body.perspective-right.perspectiveview{ background-color: rgb(26,26,26);background-color: rgba(26,26,26,1);} body.left-header.perspective-right.perspectiveview{ background-color: rgb(8,8,8);background-color: rgba(8,8,8,0.90);} body.perspective-left .be-sidemenu, body.perspective-right .be-sidemenu{ background-color : transparent; } /*Portfolio navigation*/ .loader-style1-double-bounce1, .loader-style1-double-bounce2, .loader-style2-wrap, .loader-style3-wrap > div, .loader-style5-wrap .dot1, .loader-style5-wrap .dot2, #nprogress .bar { background: #00bcdd !important; } .loader-style4-wrap { border-top: 7px solid rgba(0, 188, 221 , 0.3); border-right: 7px solid rgba(0, 188, 221 , 0.3); border-bottom: 7px solid rgba(0, 188, 221 , 0.3); border-left-color: #00bcdd; } #nprogress .spinner-icon { border-top-color: #00bcdd !important; border-left-color: #00bcdd !important; } #nprogress .peg { box-shadow: 0 0 10px #00bcdd, 0 0 5px #00bcdd !important; } .style1 #navigation, .style3 #navigation, .style4 #navigation, .style5 #navigation, #header-controls-left, #header-controls-right, #header-wrap, .mobile-nav-controller-wrap, #left-header-mobile .header-cart-controls, .style6 #navigation-left-side, .style6 #navigation-right-side, .style7 #navigation{ line-height: 66px; } body.header-transparent #header-wrap #navigation, body.header-transparent #header-wrap #navigation-left-side, body.header-transparent #header-wrap #navigation-right-side, body.header-transparent #header-inner-wrap .header-controls, body.header-transparent #header-inner-wrap #header-controls-left, body.header-transparent #header-inner-wrap #header-controls-right, body.header-transparent #header-inner-wrap #header-wrap, body.header-transparent #header-inner-wrap .mobile-nav-controller-wrap { line-height: 66px; } body #header-inner-wrap.top-animate #navigation, body #header-inner-wrap.top-animate #navigation-left-side, body #header-inner-wrap.top-animate #navigation-right-side, body #header-inner-wrap.top-animate .header-controls, body #header-inner-wrap.top-animate #header-wrap, body #header-inner-wrap.top-animate #header-controls-right, body #header-inner-wrap.top-animate #header-controls-left { line-height: 66px; } .header-transparent #content.page-split-screen-left, .header-transparent #content.page-split-screen-right{ } #navigation-left-side { padding-right: 90.5px; } #navigation-right-side { padding-left: 90.5px; } #bbpress-forums li.bbp-body ul.forum, #bbpress-forums li.bbp-body ul.topic { border-top: 1px solid #eeeeee; } #bbpress-forums ul.bbp-lead-topic, #bbpress-forums ul.bbp-topics, #bbpress-forums ul.bbp-forums, #bbpress-forums ul.bbp-replies, #bbpress-forums ul.bbp-search-results { border: 1px solid #eeeeee; } #bbpress-forums li.bbp-header, #bbpress-forums li.bbp-footer, .menu-card-item.highlight-menu-item { background: #fafbfd; } #bbpress-forums .topic .bbp-topic-meta a:hover, .bbp-forum-freshness a:hover, .bbp-topic-freshness a:hover, .bbp-header .bbp-reply-content a:hover, .bbp-topic-tags a:hover, .bbp-breadcrumb a:hover, .bbp-forums-list a:hover { color: #00bcdd; } div.bbp-reply-header, .bar-style-related-posts-list, .menu-card-item { border-color: #eeeeee; } #evcal_list .eventon_list_event .evcal_desc span.evcal_event_title, .eventon_events_list .evcal_event_subtitle { padding-bottom: 10px !important; } .eventon_events_list .eventon_list_event .evcal_desc, .evo_pop_body .evcal_desc, #page-content p.evcal_desc { padding-left: 100px !important; } .evcal_evdata_row { background: #fafbfd !important; } .eventon_events_list .eventon_list_event .event_description { background: #fafbfd !important; border-color: #eeeeee !important; } .bordr, #evcal_list .bordb { border-color: #eeeeee !important; } 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url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TjASc2CsTKlA.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TjASc5CsTKlA.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TjASc1CsTKlA.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 300; font-display: swap; src: 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font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51S7ACc5CsTKlA.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51S7ACc1CsTKlA.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51S7ACc0CsTKlA.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51S7ACc6CsQ.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic3CsTKlA.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic-CsTKlA.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* greek-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic2CsTKlA.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic5CsTKlA.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic1CsTKlA.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic0CsTKlA.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TzBic6CsQ.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc3CsTKlA.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc-CsTKlA.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* greek-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc2CsTKlA.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc5CsTKlA.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc1CsTKlA.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc0CsTKlA.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: italic; font-weight: 900; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOjCnqEu92Fr1Mu51TLBCc6CsQ.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxFIzIFKw.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxMIzIFKw.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* greek-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxEIzIFKw.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxLIzIFKw.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxHIzIFKw.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxGIzIFKw.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 100; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOkCnqEu92Fr1MmgVxIIzI.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fCRc4EsA.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fABc4EsA.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* greek-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fCBc4EsA.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fBxc4EsA.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fCxc4EsA.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fChc4EsA.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 300; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmSU5fBBc4.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu72xKOzY.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu5mxKOzY.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* greek-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu7mxKOzY.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu4WxKOzY.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu7WxKOzY.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu7GxKOzY.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOmCnqEu92Fr1Mu4mxK.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fCRc4EsA.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fABc4EsA.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* greek-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fCBc4EsA.woff2) format('woff2'); unicode-range: U+1F00-1FFF; } /* greek */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fBxc4EsA.woff2) format('woff2'); unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; } /* vietnamese */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fCxc4EsA.woff2) format('woff2'); unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; } /* latin-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fChc4EsA.woff2) format('woff2'); unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; } /* latin */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmEU9fBBc4.woff2) format('woff2'); unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; } /* cyrillic-ext */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmWUlfCRc4EsA.woff2) format('woff2'); unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; } /* cyrillic */ @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 700; font-display: swap; src: url(https://fonts.gstatic.com/s/roboto/v32/KFOlCnqEu92Fr1MmWUlfABc4EsA.woff2) format('woff2'); unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; } /* 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/></div><style>.tatsu-rJCJDVIEa{margin: 0px 0px 0px 0px;}.tatsu-rJCJDVIEa .tatsu-single-image-inner{border-style: solid;width: 123%;}.tatsu-rJCJDVIEa .tatsu-single-image-inner {transform: translateX(-18.69918699187%);}.tatsu-rJCJDVIEa.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1T6UNIV6.tatsu-column{width: 100%;}.tatsu-S1T6UNIV6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1T6UNIV6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1T6UNIV6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1T6UNIV6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1T6UNIV6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) 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.tatsu-section-pad{padding: 10px 10px 10px 10px;}}</style></div><div id="newsletter" class="tatsu-hmf7yy0emaeqy4bu tatsu-section tatsu-bg-overlay tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"25px 0% 1px 0%"}' data-padding-top='25px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-one-half tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-hmf7yy0epjcwr9zn" ><div class="tatsu-row " ><div class="tatsu-column tatsu-column-no-bg tatsu-one-half tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-hmf7yy0esv9asjxz" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="special-heading-wrap style1 oshine-module tatsu-hmf7yy0ev0a767wl " ><div class="special-heading align-center"><h3 class="special-h-tag" >Ai X Podcast Newsletter</h3><div class="sub-title margin-bottom 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50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hmf7yy0esv9asjxz.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hmf7yy0esv9asjxz.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-align-middle tatsu-column-image-none tatsu-column-effect-none tatsu-Bkg1k3hBjT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-hmf7yy0ezjg77tf6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-hmf7yy0ezjg77tf6.tatsu-text-block-wrap .tatsu-text-inner{text-align: left;}</style><div id="form-wrapper" style="max-width: 500px; margin: auto;"> <script charset="utf-8" type="text/javascript" src="//js.hsforms.net/forms/v2-legacy.js"></script> <script charset="utf-8" type="text/javascript" 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1024px) {.tatsu-row > .tatsu-Bkg1k3hBjT.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Bkg1k3hBjT.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div><style>.tatsu-hmf7yy0emaeqy4bu.tatsu-section{background-color: rgba(0,0,0,1);}.tatsu-hmf7yy0emaeqy4bu .tatsu-section-background{background-image: url(https://odsc.com/wp-content/uploads/2024/08/podcast-3.png);background-repeat: no-repeat;background-attachment: scroll;background-position: center center;background-size: cover;}.tatsu-hmf7yy0emaeqy4bu .tatsu-bg-blur{background-repeat: no-repeat;background-attachment: scroll;background-position: center center;background-size: cover;}.tatsu-hmf7yy0emaeqy4bu{border-width: 0px 0px px 0px;border-style: solid;}.tatsu-hmf7yy0emaeqy4bu .tatsu-section-pad{padding: 25px 0% 1px 0%;}.tatsu-hmf7yy0emaeqy4bu > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hmf7yy0emaeqy4bu > .tatsu-top-divider{z-index: 9999;}.tatsu-hmf7yy0emaeqy4bu .tatsu-section-overlay{background: rgba(0,0,0,1);mix-blend-mode: lighten;}</style></div><div id="aipitch" class="tatsu-By-FSjHjT tatsu-section tatsu-clearfix" data-title="Podcast Audio" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"30px 0px 30px 56px"}' data-padding-top='30px'><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-r1CaRqMgC" ><style>.tatsu-r1CaRqMgC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BkgCa0qzlC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Hk-ApAqGlR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Hk-ApAqGlR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-Hk-ApAqGlR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 70: </span>ODSC West 2024 Minisodes, Part 1.</strong></p><p><span data-sheets-root="1">In this episode of ODSC’s Ai X Podcast, we bring to you a compilation of short interviews from ODSC West 2024. The conference brought together over 170 brilliant speakers across a diverse array of tracks. Hear from several of these speakers and instructors, each sharing a bit about their work and the key themes they covered in their sessions.</span></p></div></div><div class = " tatsu-SyWQCaI7o0 accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-H17CTUXsR" style="padding: 12px;">SHOW NOTES<style>.tatsu-H17CTUXsR.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Hear from several of these speakers and instructors, each sharing a bit about their work and the key themes they covered in their sessions, including</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Benjamin Mann</b><span style="font-weight: 400;"> – Co-founder and Technical Lead, Anthropic</span></span></li></ul><ul><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Sharon Zhou</b><span style="font-weight: 400;"> – CEO and Co-founder, Lamini</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Julien Simon</b><span style="font-weight: 400;"> – Chief Evangelist, Acree AI</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Cal Al-Dhubaib</b><span style="font-weight: 400;"> – Head of AI and Data Science, Further</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Jure Leskovec</b><span style="font-weight: 400;"> – Professor, Stanford University & Co-founder, Kumo AI</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Sinan Ozdemir</b><span style="font-weight: 400;"> – Founder and CTO, LoopGenius</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Cameron Turner</b><span style="font-weight: 400;"> – General Partner, Oxonian Ventures</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="color: #ffffff;"><b>Chip Huyen</b><span style="font-weight: 400;"> – AI Engineering Expert, TEP Studio</span></span> </li></ul><p><span style="font-weight: 400; color: #ffffff;">Get ready for some great discussions and insights straight from the heart of ODSC West!</span></p><p><span style="color: #ffffff;"><b>Show Notes:</b></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">ODSC West 2024: </span><a style="color: #ffffff;" href="https://odsc.com/california"><span style="font-weight: 400;">https://odsc.com/california</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Benjamin Mann – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/benjamin-mann/"><span style="font-weight: 400;">https://www.linkedin.com/in/benjamin-mann/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Sharon Zhou – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/zhousharon/"><span style="font-weight: 400;">https://www.linkedin.com/in/zhousharon/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Julien Simon – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/juliensimon/"><span style="font-weight: 400;">https://www.linkedin.com/in/juliensimon/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Cal Al-Dhubaib – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/dhubaib/"><span style="font-weight: 400;">https://www.linkedin.com/in/dhubaib/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Jure Leskovec – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/leskovec/"><span style="font-weight: 400;">https://www.linkedin.com/in/leskovec/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Sinan Ozdemir – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/sinan-ozdemir/"><span style="font-weight: 400;">https://www.linkedin.com/in/sinan-ozdemir/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Cameron Turner – <a href="http://www.linkedin.com/in/cameronroyceturner">http://www.linkedin.com/in/cameronroyceturner</a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Chip Huyen – </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/chiphuyen/"><span style="font-weight: 400;">https://www.linkedin.com/in/chiphuyen/</span></a></span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Agentic AI</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Builders Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" 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class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HkmCTA5MeA " ><p class="p1"><b><div id="audioigniter-122538" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=122538" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></b></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BJfATRqzg0.tatsu-column{width: 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class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SyBRTRqzl0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SyBRTRqzl0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rJU06RczgR " ><style>.tatsu-rJU06RczgR.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SyvRTR9fx0 "><style>.tatsu-SyvRTR9fx0 .tatsu-icon{color: #00bcdd ;}.tatsu-SyvRTR9fx0{border-width: 0px 0px 0px 0px;}</style><a href="https://creators.spotify.com/pod/show/ai-x-podcast/episodes/ODSC-West-2024-Minisodes-e2r02jl" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJd0TCqGlA "><style>.tatsu-BJd0TCqGlA .tatsu-icon{color: #00bcdd ;}.tatsu-BJd0TCqGlA{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/odsc-west-2024-minisodes?si=9af5885e075247a1a22dfe66e91d707e&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1YRTAqfxR "><style>.tatsu-B1YRTAqfxR .tatsu-icon{color: #00bcdd ;}.tatsu-B1YRTAqfxR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odsc-west-2024-minisodes/id1721516836?i=1000676987072" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1IMnukQA "><style>.tatsu-B1IMnukQA .tatsu-icon{color: #00bcdd ;}.tatsu-B1IMnukQA{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/753403558" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HyEATR9zl0.tatsu-column{width: 13.1%;}.tatsu-HyEATR9zl0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HyEATR9zl0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HyEATR9zl0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HyEATR9zl0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HyEATR9zl0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HyEATR9zl0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HyEATR9zl0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HyEATR9zl0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-Syc2p1AfJg" ><style>.tatsu-Syc2p1AfJg.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Byxq3pJAzyx" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ryb92TkAM1g "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ryb92TkAM1g.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-ryb92TkAM1g .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 69: </span>Gary Marcus at ODSC West 2024: “Examining LLM’s Strengths, Weaknesses, and Future Pathways”</strong></p><p><span style="color: #ffffff;"><span data-sheets-root="1">This interview was recorded live at ODSC West 2024 as part of his Keynote.<br />Gary Marcus is a prominent figure in artificial intelligence, known for his insightful critiques of contemporary AI. He’s a scientist, bestselling author, and serial entrepreneur, widely recognized for his ability to anticipate AI’s current limitations well in advance. His influential research spans human language development and cognitive neuroscience.</span></span></p></div></div><div class = " tatsu-H1Mc3akCMyg accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-BkQ52p1Rzyl" style="padding: 12px;">SHOW NOTES<style>.tatsu-BkQ52p1Rzyl.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="color: #ffffff;"><span style="font-weight: 400;">In addition to his work in AI, Gary is an Emeritus Professor of Psychology and Neuroscience at NYU and has authored several impactful books, including </span><i><span style="font-weight: 400;">Taming Silicon Valley</span></i><span style="font-weight: 400;">, his latest.</span></span></p><p><span style="color: #ffffff;"><b>Topics:</b></span></p><p><span style="color: #ffffff;"><b>LLMs and Reasoning</b><span style="font-weight: 400;"> – exploring the capabilities and limitations of Large Language Models (LLMs).</span></span></p><p><span style="color: #ffffff;"><b>Scaling and Its Limitations</b><span style="font-weight: 400;"> – addressing the impact of scaling on LLM performance. </span></span></p><p><span style="color: #ffffff;"><b>Hybrid Approaches and the Need for System</b><span style="font-weight: 400;"> – hybrid approaches to AI, combining the strengths of deep learning (akin to System 1 thinking) with symbolic AI or other methods that can provide the deliberative reasoning capabilities of System 2, ex AlphaFold etc</span></span></p><p><span style="color: #ffffff;"><b>Data Efficiency and New Discoveries</b><span style="font-weight: 400;"> – inefficiency of deep learning in terms of data and energy consumption.</span></span></p><p><span style="color: #ffffff;"><b>OpenAI’s 01 and Reasoning</b><span style="font-weight: 400;"> – ChatGPT o1, and other reasoning large language models</span></span></p><p><span style="color: #ffffff;"><b>Generative AI and Copyright</b><span style="font-weight: 400;"> – addressing the ethical and legal implications of generative AI, specifically concerning the use of copyrighted material and fair use</span></span></p><p><span style="color: #ffffff;"><b>Neuro-Symbolic AI and Future Directions</b><span style="font-weight: 400;"> – promising avenues in neuro-symbolic AI and hybrid approaches are essential for advancing AI</span></span></p><p><span style="color: #ffffff;"><b>Societal Costs of AI and the Need for Regulation</b><span style="font-weight: 400;"> – are AI companies currently pushing the societal costs of their technologies onto the public?</span></span></p><p><span style="color: #ffffff;"><b>Data Privacy and Surveillance Concerns</b><span style="font-weight: 400;"> – data privacy and surveillance in the age of LLMs</span></span></p><p><span style="color: #ffffff;"><b>LLMs for Prediction and Distribution Shift</b><span style="font-weight: 400;"> – using LLMs for prediction</span></span></p></p><p><span style="color: #ffffff;"><b>Resources:</b></span></p><p><span style="font-weight: 400; color: #ffffff;">Gary Marcus https://en.wikipedia.org/wiki/Gary_Marcus</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">ODSC West 2024 </span><a style="color: #ffffff;" href="https://odsc.com/california/"><span style="font-weight: 400;">https://odsc.com/california/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Guest website </span><a style="color: #ffffff;" href="http://garymarcus.com"><span style="font-weight: 400;">http://garymarcus.com</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Guest books: </span><a style="color: #ffffff;" href="https://mitpress.mit.edu/author/gary-f-marcus-3058/"><span style="font-weight: 400;">https://mitpress.mit.edu/author/gary-f-marcus-3058/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Gary Marcus Articles: https://garymarcus.substack.com/</span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Byxq3pJAzyx.tatsu-column{width: 37.89%;}.tatsu-Byxq3pJAzyx.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Byxq3pJAzyx > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Byxq3pJAzyx > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Byxq3pJAzyx > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Byxq3pJAzyx > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Byxq3pJAzyx.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Byxq3pJAzyx.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Byxq3pJAzyx.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ryV92pkCM1l" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-rkSqn61Afke " ><p class="p1"><div id="audioigniter-121810" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=121810" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-ryV92pkCM1l.tatsu-column{width: 49%;}.tatsu-ryV92pkCM1l.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-ryV92pkCM1l > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ryV92pkCM1l > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ryV92pkCM1l > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ryV92pkCM1l > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ryV92pkCM1l.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ryV92pkCM1l.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ryV92pkCM1l.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-S1IcnT1Afyl" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rkv9nakCM1l "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rkv9nakCM1l.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-Syd5hpyAMkg " ><style>.tatsu-Syd5hpyAMkg.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1FcnpJAfyl "><style>.tatsu-S1FcnpJAfyl .tatsu-icon{color: #00bcdd ;}.tatsu-S1FcnpJAfyl{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Gary-Marcus---Live-at-ODSC-West-2024-e2qjl5o" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1cc36yAz1g "><style>.tatsu-S1cc36yAz1g .tatsu-icon{color: #00bcdd ;}.tatsu-S1cc36yAz1g{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/gary-marcus-live-at-odsc-west-2024?si=7e8be971a3fe4fd89000e347c5f31ca6&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing " class="tatsu-icon-wrap plain tatsu-animate " 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;}.tatsu-ry2c2ayAMyx{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/750807670" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1IcnT1Afyl.tatsu-column{width: 13.1%;}.tatsu-S1IcnT1Afyl.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1IcnT1Afyl > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1IcnT1Afyl > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1IcnT1Afyl > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1IcnT1Afyl > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1IcnT1Afyl.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1IcnT1Afyl.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1IcnT1Afyl.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-H1rk9RObkg" ><style>.tatsu-H1rk9RObkg.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-r1eSJq0OW1l" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1ZSy50_-ke "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1ZSy50_-ke.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-S1ZSy50_-ke .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 68: </span>Generative AI and the Need for Critical Thinking in Music, Business, and More with Yves Mulkers</strong></p><p><span style="color: #ffffff;">In this episode,<span data-sheets-root="1"> we speak with Yves Mulkers, the founder of 7wData, about the power of using generative AI in music, business, and more and the need for critical thinking to make the most out of AI applications.</span></span></p></div></div><div class = " tatsu-Byfry50Obkl accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-SkQHJqAObJx" style="padding: 12px;">SHOW NOTES<style>.tatsu-SkQHJqAObJx.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Prior to working at 7wData, Yves was a Data Architect at GSK, a Business Intelligence Analyst at Colruyt Group, and has plenty more experience in data management. 7wData, the company he founded, is a data management firm that offers unique solutions for software and hardware product-based businesses surrounding disruptive technologies.</span></p><p><span style="font-weight: 400; color: #ffffff;">The main topics discussed are how to use generative AI in business, challenges his team has faced, novel applications in music, why humans are still needed in the AI development process, and how critical thinking is a skill that AI still can’t replicate.</span></p><p><span style="color: #ffffff;"><b>Topics:</b></span></p><p><span style="font-weight: 400; color: #ffffff;">– How music led to an interest in data warehouses and artificial intelligence</span></p><p><span style="font-weight: 400; color: #ffffff;">– The need for creativity when developing algorithms</span></p><p><span style="font-weight: 400; color: #ffffff;">– AI as a tool to supplement human creativity</span></p><p><span style="font-weight: 400; color: #ffffff;">– Using generative AI to optimize SEO, writing, newsletters, and websites</span></p><p><span style="font-weight: 400; color: #ffffff;">– Getting the team onboard with using generative AI</span></p><p><span style="font-weight: 400; color: #ffffff;">– Generative AI as a learning tool for customized learning and development</span></p><p><span style="font-weight: 400; color: #ffffff;">– How to start small with generative AI implementation</span></p><p><span style="font-weight: 400; color: #ffffff;">– Roadblocks experienced when using generative AI</span></p><p><span style="font-weight: 400; color: #ffffff;">– Prompt engineering advice to get fine-tuned answers for your needs</span></p><p><span style="font-weight: 400; color: #ffffff;">– Tools for ensuring ethical and responsible AI</span></p><p><span style="font-weight: 400; color: #ffffff;">– His book, “Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies”</span></p><p><span style="color: #ffffff;"><b>Resources:</b></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies: </span><a style="color: #ffffff;" href="https://www.amazon.com/Generative-Business-Applications-Executive-TinyTechGuides-ebook/dp/B0CTRBVYYH"><span style="font-weight: 400;">https://www.amazon.com/Generative-Business-Applications-Executive-TinyTechGuides-ebook/dp/B0CTRBVYYH</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Yves’ LinkedIn: </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/yves-mulkers/"><span style="font-weight: 400;">https://www.linkedin.com/in/yves-mulkers/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Yves’ X/Twitter: </span><a style="color: #ffffff;" href="https://x.com/yvesmulkers?lang=en"><span style="font-weight: 400;">https://x.com/yvesmulkers</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– His blogs: </span><a style="color: #ffffff;" href="https://7wdata.be/author/yves-mulkers/"><span style="font-weight: 400;">https://7wdata.be/author/yves-mulkers/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– More on 7wData: </span><a style="color: #ffffff;" href="https://7wdata.be/"><span style="font-weight: 400;">https://7wdata.be/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Previous interview with DataManagementU: </span><a style="color: #ffffff;" href="https://www.ewsolutions.com/thought-leaders/yves-mulkers/"><span style="font-weight: 400;">https://www.ewsolutions.com/thought-leaders/yves-mulkers/</span></a></span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1eSJq0OW1l.tatsu-column{width: 37.89%;}.tatsu-r1eSJq0OW1l.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1eSJq0OW1l > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1eSJq0OW1l > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1eSJq0OW1l > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1eSJq0OW1l > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and 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class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1YBJcCOZJe "><style>.tatsu-S1YBJcCOZJe .tatsu-icon{color: #00bcdd ;}.tatsu-S1YBJcCOZJe{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Generative-AI-and-the-Need-for-Critical-Thinking-in-Music--Business--and-More-with-Yves-Mulkers-e2q0ils" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ByqSyqA_byx "><style>.tatsu-ByqSyqA_byx .tatsu-icon{color: #00bcdd ;}.tatsu-ByqSyqA_byx{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/8p3E92taxgsV28uBA" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" 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;}.tatsu-r12Sk9COWkl{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/746917882" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1USk50uZke.tatsu-column{width: 13.1%;}.tatsu-S1USk50uZke.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1USk50uZke > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1USk50uZke > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1USk50uZke > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1USk50uZke > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1USk50uZke.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1USk50uZke.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1USk50uZke.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SkkYL7agyg" ><style>.tatsu-SkkYL7agyg.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Bkx1Y8Q6lJg" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rkWJKImpxkg "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rkWJKImpxkg.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-rkWJKImpxkg .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 67: </span>Getting Hugs, Fine-Tuning, and Avoiding the AI API Dependency Trap with Hugging Face’s Jeff Boudier</strong></p><p><span style="color: #ffffff;">In this episode, Jeff Boudier of Hugging Face joins us to discuss Hugging Face’s new “Hugs” service for deploying AI, among other new Hugging Face developments. </span><span style="font-weight: 400; color: #ffffff;">He’ll also go into detail about fine-tuning for model performance, the evolution of AI agents, and the challenges faced when deploying AI models into production.</span></p></div></div><div class = " tatsu-ByfyKIX6eke accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-H1mytIQTgkx" style="padding: 12px;">SHOW NOTES<style>.tatsu-H1mytIQTgkx.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Jeff Boudier is the Head of Product at Hugging Face, the #1 open platform for AI builders.</span></p><p><span style="font-weight: 400; color: #ffffff;">Previously, Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development, and Corporate Development.</span></p><p><span style="font-weight: 400; color: #ffffff;">Show Questions:</span></p><p><span style="font-weight: 400; color: #ffffff;">– Details about Hugging Face’s new ‘Hugs’ service for deploying AI.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Hugging Face’s mission and how it is evolving with AI advancements.</span></p><p><span style="font-weight: 400; color: #ffffff;">– How fine-tuning is helping enterprises improve model performance.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Gathering community feedback and managing fast-moving developments.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Staying ahead of rapid AI advancements in the open-source realm.</span></p><p><span style="font-weight: 400; color: #ffffff;">– How Hugging Face is making it easier to fine-tune models.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Hugging Face’s support for Retrieval-Augmented Generation (RAG).</span></p><p><span style="font-weight: 400; color: #ffffff;">– Challenges enterprises face when deploying AI models to production.</span></p><p><span style="font-weight: 400; color: #ffffff;">– The evolution of AI agents alongside large language models.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Hugging Face’s integrations with other platforms and AI agents.</span></p><p><span style="font-weight: 400; color: #ffffff;">– The importance of privacy in running AI models locally.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Concerns about models overfitting to academic benchmarks.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Shifting benchmarks toward real-world production performance.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Jeff’s upcoming session at ODSC West.</span></p><p><span style="font-weight: 400; color: #ffffff;">– Where to follow Jeff Boudier and Hugging Face.</span></p><p><span style="font-weight: 400; color: #ffffff;">Show Notes:</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Jeff’s upcoming session at ODSC West, “How to Build Your Own AI with Open Source and Hugging Face”: </span><a style="color: #ffffff;" href="https://odsc.com/speakers/how-to-build-your-own-ai-with-open-source-and-hugging-face/"><span style="font-weight: 400;">https://odsc.com/speakers/how-to-build-your-own-ai-with-open-source-and-hugging-face/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Jeff’s Twitter/X: </span><a style="color: #ffffff;" href="https://x.com/jeffboudier"><span style="font-weight: 400;">https://x.com/jeffboudier</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– LinkedIn: </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/jeffboudier/"><span style="font-weight: 400;">https://www.linkedin.com/in/jeffboudier/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– HuggingChat: </span><a style="color: #ffffff;" href="https://huggingface.co/chat/"><span style="font-weight: 400;">https://huggingface.co/chat/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– PEFT: State-of-the-art Parameter-Efficient Fine-Tuning: </span><a style="color: #ffffff;" href="https://github.com/huggingface/peft"><span style="font-weight: 400;">https://github.com/huggingface/peft</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Hugging Face Spaces: </span><a style="color: #ffffff;" href="https://huggingface.co/spaces"><span style="font-weight: 400;">https://huggingface.co/spaces</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– LLM Evaluation Guide: </span><a style="color: #ffffff;" href="https://github.com/huggingface/evaluation-guidebook?tab=readme-ov-file"><span style="font-weight: 400;">https://github.com/huggingface/evaluation-guidebook?tab=readme-ov-file</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– LoRA: Low-Rank Adaptation of Large Language Models: </span><a style="color: #ffffff;" href="https://arxiv.org/abs/2106.09685"><span style="font-weight: 400;">https://arxiv.org/abs/2106.09685</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– DPO: Direct Preference Optimization: </span><a style="color: #ffffff;" href="https://arxiv.org/abs/2305.18290"><span style="font-weight: 400;">https://arxiv.org/abs/2305.18290</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Open LLM Leaderboard: </span><a style="color: #ffffff;" href="https://huggingface.co/open-llm-leaderboard"><span style="font-weight: 400;">https://huggingface.co/open-llm-leaderboard</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– LLM Guardrails: </span><a style="color: #ffffff;" href="https://github.com/dottxt-ai/outlines"><span style="font-weight: 400;">https://github.com/dottxt-ai/outlines</span></a></span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>http<span style="color: #000080;">s<span style="color: #ffffff;">://odsc.com/</span></span></i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p><span style="font-weight: 400; color: 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rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 66: </span>From LLMs to AI Agents and RAG: Mastering GenAI Evaluations with Jason Lopatecki</strong></p><p><span data-sheets-root="1">In this episode, our guest today, Jason Lopatecki, co-founder and CEO of Arize AI, joins us to discuss GenAI evaluations. </span></p></div></div><div class = " tatsu-ryzY6GAkx1l accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-rk7KTzAyxJx" style="padding: 12px;">SHOW NOTES<style>.tatsu-rk7KTzAyxJx.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Arize AI is a startup that is one of the leaders in AI observability and LLM evaluation. </span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">It’s the same company behind the very popular open-source evaluation project, Phoenix.</span></span></p><p><span style="font-weight: 400; color: #ffffff;">Prior to Arize, Jason was the co-founder and chief innovation officer at TubeMogul </span><br /><span style="font-weight: 400; color: #ffffff;">where he scaled the business into a public company that was eventually acquired by Adobe.</span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;"><span style="font-weight: 400;">SHOW TOPICS:</span></span></span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Jason’s background and key moments in his career</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Arize AI’s founding journey and focus on observability and evaluation </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Primary challenges of evaluating GenAI and foundational models</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Using LLM / AI as-a-judge</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Common mistakes to avoid when evaluating LLMs</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Evaluation-driven development. </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">AI agents, agentic AI, and challenge for evaluation</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Breaking down AI agents into manageable components. </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Agent Control Flow and assessing how agents make correct decisions at each step </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Evaluating individual actions performed by AI agents</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Retrieval Augmented Generation (RAG) evaluation </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Ensuring RAG retrieved information is accurate and relevant </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Risks and benefits of using open-source models vs. proprietary models, </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Large Language Model evaluation metrics </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The drawbacks of public benchmarks </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Practical considerations for creating an effective evaluation pipeline, and how it differs between experimentation and production</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The advantages of SLMs (Small language Models) </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Building an LLM task evaluation from scratch, the steps involved</span></li></ul><p><span style="font-weight: 400; color: #ffffff;">SHOW NOTES</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Jason Lopatecki, CEO and Co-Founder of Arize AI: </span><a style="color: #ffffff;" href="https://www.linkedin.com/in/jason-lopatecki-9509941/"><span style="font-weight: 400;">https://www.linkedin.com/in/jason-lopatecki-9509941</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://twitter.com/jason_lopatecki"><span style="font-weight: 400;">https://twitter.com/jason_lopatecki</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Arize AI: </span><a style="color: #ffffff;" href="https://twitter.com/arizeai"><span style="font-weight: 400;">https://twitter.com/arizeai</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Arize AI blogs </span><a style="color: #ffffff;" href="https://arize.com/blog/"><span style="font-weight: 400;">https://arize.com/blog/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Jason’s Talk at ODSC West – </span><b>Demystifying LLM Evaluation</b><b> – </b><a style="color: #ffffff;" href="https://odsc.com/speakers/demystifying-llm-evaluation/"><b>https://odsc.com/speakers/demystifying-llm-evaluation/</b></a></span></p><p><span style="font-weight: 400; color: #ffffff;">– Foundational Models https://en.wikipedia.org/wiki/Foundation_model</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– AI Agents </span><a style="color: #ffffff;" href="https://en.wikipedia.org/wiki/Intelligent_agent"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Intelligent_agent</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">– Agentic AI https://venturebeat.com/ai/agentic-ai-a-deep-dive-into-the-future-of-automation/</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Prometheus: Inducing Fine-grained Evaluation Capability in Language Models </span><a style="color: #ffffff;" href="https://arxiv.org/abs/2310.08491"><span style="font-weight: 400;">https://arxiv.org/abs/2310.08491</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Open LLM Leaderboard </span><a style="color: #ffffff;" href="https://huggingface.co/open-llm-leaderboard"><span style="font-weight: 400;">https://huggingface.co/open-llm-leaderboard</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– OpenAI o1 </span><a style="color: #ffffff;" href="https://openai.com/o1/"><span style="font-weight: 400;">https://openai.com/o1/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Mistral LLMs </span><a style="color: #ffffff;" href="https://docs.mistral.ai/getting-started/models/models_overview/"><span style="font-weight: 400;">https://docs.mistral.ai/getting-started/models/models_overview/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Llama 3.2 </span><a style="color: #ffffff;" href="https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/"><span style="font-weight: 400;">https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Evaluation Prompts: https://arize.com/blog-course/evaluating-prompt-playground/</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;"> Phoenix – Open Source AI Observability & Evaluation –</span><a style="color: #ffffff;" href="https://github.com/Arize-ai/phoenix"><span style="font-weight: 400;">https://github.com/Arize-ai/phoenix</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><b>This episode was sponsored by: </b></span></p><p><span style="font-weight: 400; color: #ffffff;"><b>Ai+ Training</b><a style="color: #ffffff;" href="https://aiplus.training/"> <span style="font-weight: 400;">⁠</span><i><span style="font-weight: 400;">https://aiplus.training/</span></i><span style="font-weight: 400;">⁠</span></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><i><span style="font-weight: 400;">Home to 600+ hours of on-demand, self-paced AI training, live virtual training, and certifications in in-demand skills like LLMs and prompt engineering.</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><b>And created in partnership with ODSC</b><a style="color: #ffffff;" href="https://odsc.com/"> <span style="font-weight: 400;">⁠</span><b>https://odsc.com/</b><span style="font-weight: 400;">⁠</span></a><b> </b></span></p><p><span style="font-weight: 400; color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p><i><span style="font-weight: 400;"><span style="color: #ffffff;">Join us at our upcoming and highly anticipated conference ODSC West in South San Francisco October 29-31.</span> </span></i></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-BJxYTzR1gke.tatsu-column{width: 37.89%;}.tatsu-BJxYTzR1gke.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-BJxYTzR1gke > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJxYTzR1gke > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJxYTzR1gke > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJxYTzR1gke > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJxYTzR1gke.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJxYTzR1gke.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJxYTzR1gke.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-B14tTf01lyg" 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class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ByPFTz0yeyx "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ByPFTz0yeyx.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-Hk_tTMRJeyl " ><style>.tatsu-Hk_tTMRJeyl.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJKt6GC1xkg "><style>.tatsu-SJKt6GC1xkg .tatsu-icon{color: #00bcdd ;}.tatsu-SJKt6GC1xkg{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/From-LLMs-to-AI-Agents-and-RAG-Mastering-GenAI-Evaluations-with-Jason-Lopatecki-e2peitk" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" 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href="https://podcasts.apple.com/us/podcast/from-llms-to-ai-agents-and-rag-mastering-genai/id1721516836?i=1000672396108" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJ2Y6GRygke "><style>.tatsu-SJ2Y6GRygke .tatsu-icon{color: #00bcdd ;}.tatsu-SJ2Y6GRygke{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/743217531" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ry8K6fRJxJl.tatsu-column{width: 13.1%;}.tatsu-ry8K6fRJxJl.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ry8K6fRJxJl > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ry8K6fRJxJl > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ry8K6fRJxJl > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ry8K6fRJxJl > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ry8K6fRJxJl.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ry8K6fRJxJl.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ry8K6fRJxJl.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-H1ml5XBykl" ><style>.tatsu-H1ml5XBykl.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BygXe57HJkl" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BJbQlq7SJkl "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BJbQlq7SJkl.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-BJbQlq7SJkl .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 65: </span>Google’s AI-Powered Tools for Data Scientists: Building the Automated Future of Data Science with Paige Bailey</strong></p><p><span data-sheets-root="1">In this episode, we speak with Paige Bailey, the engineering lead for GenAI Developer Experience at Google, about Google’s AI-powered tools for data scientists. </span></p></div></div><div class = " tatsu-HJM7x9XSkkg accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-H1mQxqXrJkg" style="padding: 12px;">SHOW NOTES<style>.tatsu-H1mQxqXrJkg.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Paige has a deep understanding of the generative AI landscape, having previously served as an applied machine learning engineer at Microsoft and GitHub, and a product lead for Google’s PaLM v2 and Gemini models. She is also passionate about making cutting-edge AI technology accessible, and empowering developers to build the next generation of innovative applications.</span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">If you enjoy this episode, you can hear from Paige in person at ODSC West 2024 in South San Francisco, where she will be giving the talk, “Data Science in the Age of Generative AI”. Learn more here: https://odsc.com/speakers/data-science-in-the-age-of-generative-ai/ </span></span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Show Topics:</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Guest background and key career moments</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– The evolution of data science as a field</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– The history, evolution, and current state of Google Colab</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– AI code assistants and how Google Colab’s AI compares to other coding systems</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– The importance of data visualization</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Overview of Gemini 1.5 Pro and 1.5 Flash capabilities </span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Dense models vs. Mixture of Experts (MoE) models</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google’s open-source family of dense models and their capabilities</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Overview of Retrieval Augmented Generation (RAG)</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– The challenges and considerations of fine-tuning open-source models</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google AI Studio for LLMS, code execution, function calling, and fine-tuning</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google’s new data science agent</span></span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Show Notes: </span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– ODSC West 2024 Talk, “Data Science in the Age of Generative AI”: https://odsc.com/speakers/data-science-in-the-age-of-generative-ai/</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Paige’s LinkedIn: </span><a href="https://www.linkedin.com/in/dynamicwebpaige/"><span style="font-weight: 400;">https://www.linkedin.com/in/dynamicwebpaige/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Paige’s webpage: </span><a href="http://webpaige.dev"><span style="font-weight: 400;">http://webpaige.dev</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Paige’s X:</span><a href="https://twitter.com/dynamicwebpaige"><span style="font-weight: 400;">@dynamicwebpaige</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google Colab: https://colab.research.google.com/</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Colab AI Coding Features: </span></span></p><p><span style="font-weight: 400; color: #ffffff;"><a href="https://blog.google/technology/developers/google-colab-ai-coding-features/"><span style="font-weight: 400;">https://blog.google/technology/developers/google-colab-ai-coding-features/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Gemma Open Models: https://ai.google.dev/gemma</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Gemini 1.5 Flash: </span><a href="https://deepmind.google/technologies/gemini/flash/"><span style="font-weight: 400;">https://deepmind.google/technologies/gemini/flash/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Gemini 1.5 Pro: </span><a href="https://deepmind.google/technologies/gemini/pro/"><span style="font-weight: 400;">https://deepmind.google/technologies/gemini/pro/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Mixture of Experts (MOE): https://huggingface.co/blog/moe</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Dense Neural Network: </span><a href="https://paperswithcode.com/method/dense-connections"><span style="font-weight: 400;">https://paperswithcode.com/method/dense-connections</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google AI Studio: </span><a href="https://aistudio.google.com/"><span style="font-weight: 400;">https://aistudio.google.com/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google AI Studio X: @googleaistudio</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Google Data Science Agent: </span><a href="https://labs.google.com/code/dsa"><span style="font-weight: 400;">https://labs.google.com/code/dsa</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Retrieval-augmented generation: https://cloud.google.com/use-cases/retrieval-augmented-generation?hl=en</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– RAG Evaluation: </span><a href="https://huggingface.co/learn/cookbook/en/rag_evaluation"><span style="font-weight: 400;">https://huggingface.co/learn/cookbook/en/rag_evaluation</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">– Anna Goldie’s ODSC’s Ai X Podcast Episode #41–“Deep Reinforcement Learning in the Real World”: https://podcasts.apple.com/us/podcast/deep-reinforcement-learning-in-the-real-world-with/id1721516836?i=1000650492206</span></span></p><p><span style="font-weight: 400; color: #ffffff;"><b>This episode was sponsored by: </b></span></p><p><span style="font-weight: 400; color: #ffffff;"><b>Ai+ Training</b><a href="https://aiplus.training/"> <span style="font-weight: 400;">⁠</span><i><span style="font-weight: 400;">https://aiplus.training/</span></i><span style="font-weight: 400;">⁠</span></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><i><span style="font-weight: 400;">Home to 600+ hours of on-demand, self-paced AI training, live virtual training, and certifications in in-demand skills like LLMs and prompt engineering.</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><b>And created in partnership with ODSC</b><a href="https://odsc.com/"> <span style="font-weight: 400;">⁠</span><b>https://odsc.com/</b><span style="font-weight: 400;">⁠</span></a><b> </b></span></p><p><span style="font-weight: 400; color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><i><span style="font-weight: 400;">Join us at our upcoming and highly anticipated conference ODSC West in South San Francisco October 29-31. </span></i></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div 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class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Hk97gcXH1ye "><style>.tatsu-Hk97gcXH1ye .tatsu-icon{color: #00bcdd ;}.tatsu-Hk97gcXH1ye{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/ZNz7baHaSAi1GGvg8" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rJsQx57Syyg "><style>.tatsu-rJsQx57Syyg .tatsu-icon{color: #00bcdd ;}.tatsu-rJsQx57Syyg{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/googles-ai-powered-tools-for-data-scientists-building/id1721516836?i=1000671455566" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r13XxcXSy1x "><style>.tatsu-r13XxcXSy1x .tatsu-icon{color: #00bcdd ;}.tatsu-r13XxcXSy1x{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/741202752" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1Umx5Xr1kl.tatsu-column{width: 13.1%;}.tatsu-r1Umx5Xr1kl.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1Umx5Xr1kl > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1Umx5Xr1kl > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1Umx5Xr1kl > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1Umx5Xr1kl > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1Umx5Xr1kl.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1Umx5Xr1kl.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1Umx5Xr1kl.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJX3525AA" ><style>.tatsu-rJX3525AA.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-S1xXn9nc0C" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BkZQ353qA0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BkZQ353qA0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-BkZQ353qA0 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><strong><span style="color: #f7105d;">Episode 64: </span>AI for Robotics and Autonomy with Francis X. Govers III</strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, we are joined by Francis Govers, a contributor to the design of over 30 manned and unmanned land, sea, air, and space vehicles, and an expert in robotics and autonomy. </span></span></p></div></div><div class = " tatsu-ByfQncn5AR accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-HkQX2qhqCR" style="padding: 12px;">SHOW NOTES<style>.tatsu-HkQX2qhqCR.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Francis is an Air Force veteran, spent 10 years at NASA, was a lead engineer for the International Space Station, was Deputy Chief Engineer for the US Army Future Combat Systems, participated in the DARPA Grand Challenge, and managed a Zeppelin airship. </span></p><p><span style="font-weight: 400; color: #ffffff;">He worked on the “Yellow Line” for football and designed telemetry systems for NASCAR and IndyCar. He designed RAMSEE, the robot security guard, as CTO of Gamma 2 Robotics. As a commercial pilot, writer, artist, musician, engineer, race car nut, and designer, Francis has a serious addiction to building things that frequently get him into trouble. </span> <span style="font-weight: 400; color: #ffffff;">He has published 48 magazine articles and contributed to five books. He received five outstanding achievement awards from NASA, the Explorer Award by the National Space Society, recognition from Scientific American for “World Changing Ideas”, and was recognized by the Vertical Flight Society as a “Titan of Autonomy”. </span></p><p><span style="font-weight: 400; color: #ffffff;">SHOW TOPICS:</span></p><ul><li><span style="font-weight: 400; color: #ffffff;">The second edition of “Artificial Intelligence for Robotics” which came out in February</span></li><li><span style="font-weight: 400; color: #ffffff;"> Tell us about your background and key career moments</span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Tell us about your book – what’s the motivation and audience?</span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;"> </span><span style="font-weight: 400;">The growing industry of robotics startups and their appeal to investors</span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">What is the fundamental difference between an AI-enabled robot and a traditional robot?</span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">How does autonomy differ from pre-programmed robotic behaviors?</span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Why is supervised learning important in AI robotics, and how is it used in this book?</span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">You show the reader how to build a robot in your book. What are the primary technical components (hardware and software) needed to build an AI robot?</span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Tell us about Robotic Operating Systems aka ROS</span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">How can deep learning be used for robotics and is transfer learning applicable?</span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">How can we teach a robot to listen and what are the main challenges in developing a robot capable of understanding human speech?</span></span></span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">What is Spectral Analysis?</span></span></span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Beyond just listening, how do we give a robot a personality, known as artificial personality (AP)?</span></span></span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">What is the purpose of Monte Carlo modeling in creating human-like interactions for the robot?</span></span></span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">How does the robot’s personality system enable it to hold simple conversations with children?</span></span></span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Why is it important for the robot to understand the mood of its human user during interactions?</span></span></span></span></span></span></span></li><li><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">How do robots traditionally navigate unstructured environments and what new methods does AI introduce?</span> </span></span></span></span></span></span></li></ul><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">SHOW NOTES:</span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Francis Govers: </span><a href="https://www.linkedin.com/in/francisxgoversiii/"><span style="font-weight: 400;">https://www.linkedin.com/in/francisxgoversiii/</span></a><span style="font-weight: 400;"> </span> <span style="font-weight: 400;">Artificial Intelligence for Robotics: </span><a href="https://www.packtpub.com/en-us/product/artificial-intelligence-for-robotics-9781788835442"><span style="font-weight: 400;">https://www.packtpub.com/en-us/product/artificial-intelligence-for-robotics-9781788835442</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">NASA Space Station: </span><a href="https://www.nasa.gov/international-space-station/"><span style="font-weight: 400;">https://www.nasa.gov/international-space-station/</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Q-Learning: </span><a href="https://en.wikipedia.org/wiki/Q-learning"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Q-learning</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">YOLOv8: </span><a href="https://yolov8.com/"><span style="font-weight: 400;">https://yolov8.com/</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Darpa Grand Challenge: </span><a href="https://www.darpa.mil/about-us/timeline/-grand-challenge-for-autonomous-vehicles"><span style="font-weight: 400;">https://www.darpa.mil/about-us/timeline/-grand-challenge-for-autonomous-vehicles</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Darpa Grand Challenge Documentary: </span><a href="https://www.pbs.org/wgbh/nova/darpa/"><span style="font-weight: 400;">https://www.pbs.org/wgbh/nova/darpa/</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Genetic Algorithms: </span><a href="https://en.wikipedia.org/wiki/Genetic_algorithm"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Genetic_algorithm</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Podcast Episode: Automated Prompt Engineering: </span><a href="https://spotifyanchor-web.app.link/e/2EqtUzJvOMb"><span style="font-weight: 400;">https://spotifyanchor-web.app.link/e/2EqtUzJvOMb</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Podcast Episode: Reinforcement Learning for Finance: </span><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Reinforcement-Learning-for-Finance-with-Dr--Yves-J--Hilpisch-e2oh28t"><span style="font-weight: 400;">https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Reinforcement-Learning-for-Finance-with-Dr–Yves-J–Hilpisch-e2oh28t</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">NVIDIA Jetson Nano: </span><a href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/product-development/"><span style="font-weight: 400;">https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/product-development/</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Modular Open Systems Approach (MOSA): </span><a href="https://www.dsp.dla.mil/Programs/MOSA/"><span style="font-weight: 400;">https://www.dsp.dla.mil/Programs/MOSA/</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Transfer learning: </span><a href="https://en.wikipedia.org/wiki/Transfer_learning"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Transfer_learning</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Text to Speech: </span><a href="https://simple.wikipedia.org/wiki/Text_to_speech"><span style="font-weight: 400;">https://simple.wikipedia.org/wiki/Text_to_speech</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Spectral Analysis: </span><a href="https://en.wikipedia.org/wiki/Spectral_analysis"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Spectral_analysis</span></a><span style="font-weight: 400;"> </span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"> <span style="font-weight: 400;">I’m OK – You’re OK: </span><a href="https://en.wikipedia.org/wiki/I%27m_OK_%E2%80%93_You%27re_OK"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/I%27m_OK_%E2%80%93_You%27re_OK</span></a><span style="font-weight: 400;"> </span> <span style="font-weight: 400;">Prometheus: </span><a href="https://en.wikipedia.org/wiki/Prometheus_(2012_film)"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Prometheus_(2012_film)</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Ex Machina: </span><a href="https://en.wikipedia.org/wiki/Ex_Machina"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Ex_Machina</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><b>This episode was sponsored by: </b> <b>Ai+ Training</b><a href="https://aiplus.training/"> <span style="font-weight: 400;">⁠</span><i><span style="font-weight: 400;">https://aiplus.training/</span></i><span style="font-weight: 400;">⁠</span></a><i><span style="font-weight: 400;"> </span></i> <i><span style="font-weight: 400;">Home to 600+ hours of on-demand, self-paced AI training, live virtual training, and certifications in in-demand skills like LLMs and prompt engineering.</span></i> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><b>And created in partnership with ODSC</b><a href="https://odsc.com/"> <span style="font-weight: 400;">⁠</span><b>https://odsc.com/</b><span style="font-weight: 400;">⁠</span></a><b> </b> <i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i> <i><span style="font-weight: 400;">Join us at our upcoming and highly anticipated conference ODSC West in South San Francisco October 29-31. </span></i></span></span></span></span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1xXn9nc0C.tatsu-column{width: 37.89%;}.tatsu-S1xXn9nc0C.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1xXn9nc0C > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1xXn9nc0C > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1xXn9nc0C > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1xXn9nc0C > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1xXn9nc0C.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1xXn9nc0C.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1xXn9nc0C.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Sy4m25350C" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div 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class="tatsu-module tatsu-text-block-wrap tatsu-rJw7nc3c0R "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJw7nc3c0R.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rk_Q393c00 " ><style>.tatsu-rk_Q393c00.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ByYX2cn9AR "><style>.tatsu-ByYX2cn9AR .tatsu-icon{color: #00bcdd ;}.tatsu-ByYX2cn9AR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/AI-for-Robotics-and-Autonomy-with-Francis-X--Govers-III-e2ortmm" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" 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.tatsu-Hy8m25n50C.tatsu-column{width: 13.1%;}.tatsu-Hy8m25n50C.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Hy8m25n50C > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hy8m25n50C > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hy8m25n50C > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hy8m25n50C > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hy8m25n50C.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hy8m25n50C.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hy8m25n50C.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-Bys5dxu0R" ><style>.tatsu-Bys5dxu0R.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rkgiqOguRR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJ-i9OguAA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJ-i9OguAA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-rJ-i9OguAA .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 63: </span><strong>Reinforcement Learning for Finance with Dr. Yves J. Hilpisch</strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, </span></span><span style="font-weight: 400;">Dr. Yves J. Hilpisch, founder and CEO of The Python Quants (http://tpq.io), and founder and CEO of The AI Machine (</span><a href="http://aimachine.io"><span style="font-weight: 400;">http://aimachine.io</span></a><span style="font-weight: 400;">), joins us to discuss reinforcement learning for finance. </span></p></div></div><div class = " tatsu-S1Micug_CA accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-Skmo9OgO0C" style="padding: 12px;">SHOW NOTES<style>.tatsu-Skmo9OgO0C.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Yves is also the author of the book “Reinforcement Learning for Finance” and has a diploma in Business Administration and a Ph.D. in Mathematical Finance. Yves is also an adjunct professor for Computational Finance at the Miami Herbert Business School.</span></p><p><strong><span style="color: #ffffff;">Show Topics:</span></strong></p><p> </p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Overview of The Python Quants</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">The speaker’s new book, “Reinforcement Learning for Finance” and why the focus on reinforcement learning</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Dynamic time problems</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Markov decision processes</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Key types of reinforcement learning models</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Deep Q-Learning (DQL) and how it relates to Q-Learning</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">How deep Q-Learning be applied to financial contexts, such as trading strategies or portfolio management</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Issues associated with using static historical time series data for training DQL agents in finance</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">E<span style="font-weight: 400; color: #ffffff;">nd-of-day data vs tick data</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Adding white noise to historical time series data to improve the training of DQL agents</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Key differences between the noisy time series data and the simulated time series data approaches </span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Generative Adversarial Networks (GANs) utility for generating synthetic financial time series data</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">GANs’ advantages over traditional Monte Carlo simulations in generating financial data</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">How to check the quality of synthetic data</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">The role of Kolmogorov-Smirnov (KS) test in evaluating the synthetic data generated by GANs</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">How the chapter compare the effectiveness of GAN-generated data to real financial data</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">The primary goal of the trading agent </span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">The role of buy bots </span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">The role of agentic AI</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Topic analysis and sentiment analysis </span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Overview of the “Researchers Find AI Model Outperforms Human Stock Forecasters ‘Financial Statement Analysis with Large Language Models’” paper</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;"><span style="font-weight: 400; color: #ffffff;">Yves’ session at ODSC Europe </span></span></li></ul><p> </p><p style="text-align: center;"><span style="font-weight: 400; color: #ffffff;">SHOW NOTES </span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Monte Carlo Simulation in Finance: </span><a href="https://www.investopedia.com/articles/investing/112514/monte-carlo-simulation-basics.asp"><span style="font-weight: 400;">https://www.investopedia.com/articles/investing/112514/monte-carlo-simulation-basics.asp</span></a> </span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Python Quants: </span><a href="https://home.tpq.io/"><span style="font-weight: 400;">https://home.tpq.io/</span></a> <span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Certificate in Python for Finance: </span><a href="https://home.tpq.io/certificate/"><span style="font-weight: 400;">https://home.tpq.io/certificate/</span></a> <span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Markov decision process: </span><a href="https://en.wikipedia.org/wiki/Markov_decision_process"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Markov_decision_process</span></a> </span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Black Scholes model: </span><a href="https://www.investopedia.com/terms/b/blackscholes.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/b/blackscholes.asp</span></a> </span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Deep Q Learning: </span><a href="https://www.tensorflow.org/agents/tutorials/0_intro_rl"><span style="font-weight: 400;">https://www.tensorflow.org/agents/tutorials/0_intro_rl</span></a> </span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Backtesting: </span><a href="https://www.investopedia.com/terms/b/backtesting.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/b/backtesting.asp</span></a> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Model collapse: </span><a href="https://en.wikipedia.org/wiki/Model_collapse"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Model_collapse</span></a> </span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">GANS: </span><a href="https://en.wikipedia.org/wiki/Generative_adversarial_network"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Generative_adversarial_network</span></a> </span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Black Swan Events: </span><a href="https://www.investopedia.com/terms/b/blackswan.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/b/blackswan.asp</span></a> </span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Kamograve Smirnov test: </span><a href="https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test</span></a> <span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Delta Hedging: </span><a href="https://www.investopedia.com/terms/d/deltahedging.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/d/deltahedging.asp</span></a> </span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Hedging strategies: </span><a href="https://www.investopedia.com/trading/hedging-beginners-guide/"><span style="font-weight: 400;">https://www.investopedia.com/trading/hedging-beginners-guide/</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Option Replication: </span><a href="https://www.cfainstitute.org/en/membership/professional-development/refresher-readings/option-replication-put-call-parity"><span style="font-weight: 400;">https://www.cfainstitute.org/en/membership/professional-development/refresher-readings/option-replication-put-call-parity</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Geometric Brownian motion: </span><a href="https://en.wikipedia.org/wiki/Geometric_Brownian_motion"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Geometric_Brownian_motion</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Jump Diffusion: </span><a href="https://en.wikipedia.org/wiki/Jump_diffusion"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Jump_diffusion</span></a> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Heston model: </span><a href="https://en.wikipedia.org/wiki/Heston_model"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Heston_model</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Bates Mode: </span><a href="https://en.wikipedia.org/wiki/Stochastic_volatility_jump"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Stochastic_volatility_jump</span></a> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Gain Fallacy (A loss of 70% requires a 300% gain to break even): </span><a href="https://www.rgbcapitalgroup.com/preserving-capital"><span style="font-weight: 400;">https://www.rgbcapitalgroup.com/preserving-capital</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Prime Brokers: </span><a href="https://www.investopedia.com/terms/p/primebrokerage.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/p/primebrokerage.asp</span></a> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Algorithmic trading: </span><a href="https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp"><span style="font-weight: 400;">https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Financial statement analysis, with large language models: </span><a href="https://arxiv.org/pdf/2407.17866"><span style="font-weight: 400;">https://arxiv.org/pdf/2407.17866</span></a><span style="font-weight: 400;"> </span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><b>This episode was sponsored by: </b> <b>Ai+ Training</b><a href="https://aiplus.training/"> <span style="font-weight: 400;">⁠</span><i><span style="font-weight: 400;">https://aiplus.training/</span></i><span style="font-weight: 400;">⁠</span></a><i><span style="font-weight: 400;"> </span></i> <i><span style="font-weight: 400;">Home to 600+ hours of on-demand, self-paced AI training, live virtual training, and certifications in in-demand skills like LLMs and prompt engineering.</span></i> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400; color: #ffffff;"><b>And created in partnership with ODSC</b><a href="https://odsc.com/"> <span style="font-weight: 400;">⁠</span><b>https://odsc.com/</b><span style="font-weight: 400;">⁠</span></a><b> </b> <i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i> <i><span style="font-weight: 400;">Join us at our upcoming and highly anticipated conference ODSC West in South San Francisco October 29-31. </span></i> <span style="font-weight: 400;">Never miss an episode, subscribe now!</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" 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data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Byvs9dg_RR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Byvs9dg_RR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-BJdiq_gdRA " ><style>.tatsu-BJdiq_gdRA.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1tjcdg_C0 "><style>.tatsu-r1tjcdg_C0 .tatsu-icon{color: #00bcdd ;}.tatsu-r1tjcdg_C0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Reinforcement-Learning-for-Finance-with-Dr--Yves-J--Hilpisch-e2oh28t" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" 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href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000669844515" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Hy2o5_euRC "><style>.tatsu-Hy2o5_euRC .tatsu-icon{color: #00bcdd ;}.tatsu-Hy2o5_euRC{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/737926257" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rk8j9uld0A.tatsu-column{width: 13.1%;}.tatsu-rk8j9uld0A.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rk8j9uld0A > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rk8j9uld0A > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rk8j9uld0A > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rk8j9uld0A > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rk8j9uld0A.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rk8j9uld0A.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rk8j9uld0A.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SJD6ImO6C" ><style>.tatsu-SJD6ImO6C.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SklvpImO6A" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SkWDTU7_6C "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SkWDTU7_6C.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-SkWDTU7_6C .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 62: </span><strong><span data-sheets-root="1">From Automated Prompt Engineering to Deepfake Speech: AI Advancements and Ethical Challenges with Dr. Julie Wall</span></strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, we speak with Dr. Julie Wall about recent AI advancements and their ethical implications, particularly automated prompt engineering and deepfake speech.</span></span></p></div></div><div class = " tatsu-BkMDpUX_pC accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-SyXv6UXupC" style="padding: 12px;">SHOW NOTES<style>.tatsu-SyXv6UXupC.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;"> Julie is a Professor of AI and Advanced Computing at the University of West London, where she researches designing intelligent systems to process and model temporal data, focusing on speech and language applications. She is also a member of the British Standards Institution (BSI) and serves as an expert in the field of AI.</span></p><p><span style="font-weight: 400; color: #ffffff;">Show Note Topics:</span></p><p><span style="font-weight: 400; color: #ffffff;">Guest introduction and key moments in their career<br />Addressing the limitations of manual prompting<br />Automated prompt engineering<br />Leveraging advanced techniques for automated prompt engineering including reinforcement learning, genetic algorithms, and gradient-based methods<br />Practical applications of automated prompt engineering<br />How automated prompt engineering improves the performance of NLP models<br />The potential challenges or considerations when implementing automated prompt engineering in real-world applications<br />How the feedback loop in automated systems help refine prompts over time, and what metrics are used to assess prompt effectiveness<br />Deepfake speech as misinformation<br />The rapid evolution of deepfake speech<br />Deepfake creation tools<br />The use of deepfake speech for political disinformation<br />The latest developments in legislation aimed at combating deepfake speech, and how different countries are approaching this issue<br />Deepfake detection methods and models</span></p><p><span style="font-weight: 400; color: #ffffff;">Show Notes:<br />– Dr. Julie Wall’s Bio: https://www.uwl.ac.uk/staff/julie-wall<br />– Dr. Julie Wall’s Citations: https://scholar.google.co.uk/citations?user=EUlLEm4AAAAJ&hl=en<br />– ODSC Europe: https://odsc.com/europe/<br />– ODSC West: https://odsc.com/california/<br />– A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications: https://arxiv.org/html/2402.07927v1<br />– Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review: https://arxiv.org/abs/2310.14735<br />– Prompt Engineering a Prompt Engineer: https://arxiv.org/html/2311.05661v3<br />– Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks: https://arxiv.org/pdf/2310.10508<br />– OpenAI Change Log: https://platform.openai.com/docs/changelog<br />-Reinforcement learning human feedback: https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback<br />– Generic algorithms: https://en.wikipedia.org/wiki/Genetic_algorithm<br />– Gradient-based methods: https://en.wikipedia.org/wiki/Gradient_method<br />-Deep Live Cam: https://github.com/hacksider/deep-live-cam<br />– GANS: https://developers.google.com/machine-learning/gan/gan_structure<br />– Neural Text to Speech: https://www.aane.in/research/neural-text-to-speech<br />– GitHub topic on deepfakes https://github.com/topics/deepfake<br />– GitHub topic on voice cloning: https://github.com/topics/voice-cloning</span></p><p><span style="font-weight: 400; color: #ffffff;">Follow Sheamus McGovern on X (https://x.com/sheamusmcgov) or LinkedIn (https://www.linkedin.com/in/sheamus/) for podcast updates</span></p><p><span style="font-weight: 400; color: #ffffff;">This episode was sponsored by:<br />Ai+ Training ⁠https://aiplus.training/⁠<br />Home to 600+ hours of on-demand, self-paced AI training, live virtual training, and certifications in in-demand skills like LLMs and prompt engineering.</span></p><p><span style="font-weight: 400; color: #ffffff;">And created in partnership with ODSC ⁠https://odsc.com/⁠<br />The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></p><p><span style="font-weight: 400; color: #ffffff;">Join us at our upcoming and highly anticipated conference ODSC West in South San Francisco October 29-31.<br />Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = 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data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJDvT87u6A "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJDvT87u6A.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-SydwpLm_aA " ><style>.tatsu-SydwpLm_aA.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJYPpL7_p0 "><style>.tatsu-SJYPpL7_p0 .tatsu-icon{color: #00bcdd ;}.tatsu-SJYPpL7_p0{border-width: 0px 0px 0px 0px;}</style><a href="https://spotifyanchor-web.app.link/e/2EqtUzJvOMb" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img 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plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ryUvpLXdpR.tatsu-column{width: 13.1%;}.tatsu-ryUvpLXdpR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ryUvpLXdpR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ryUvpLXdpR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ryUvpLXdpR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ryUvpLXdpR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ryUvpLXdpR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ryUvpLXdpR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ryUvpLXdpR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-S1GvEXuTA" ><style>.tatsu-S1GvEXuTA.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-H1ezD4X_6C" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJ-Gv4Q_aA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJ-Gv4Q_aA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-rJ-Gv4Q_aA .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 61: </span><strong>What Gaming Teaches Us About Generative AI: A Conversation with Hilary Mason</strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode of ODSC’s Ai X Podcast, we speak with Hilary Mason about the intersection of gaming and generative AI. </span></span></p></div></div><div class = " tatsu-rkMMwVm_TC accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ry7MDNQuTR" style="padding: 12px;">SHOW NOTES<style>.tatsu-ry7MDNQuTR.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Hilary Mason is the co-founder and CEO of Hidden Door. Prior to her work at Hidden Door, she was the General Manager of the Machine Learning business unit at Cloudera. Before that, she was a Data Scientist in Residence at Accel Partners, Chief Scientist at bitly, and plenty more. She’s also an experienced entrepreneur and founded Fast Forward Labs, an applied machine learning research and consulting startup.</span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">SHOW NOTE TOPICS:</span></span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Hillary’s journey and the key decisions that shaped her career</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;">Where are we with generative AI?</span></span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How generative AI impacts creative domains such as story games</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Discussion on Hillary’s latest startup, Hidden Door</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">NPC (Non-player characters) in gaming and the challenges of scripting</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What gaming can teach us about AI and generative AI </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Building ML products that don’t have a single objective function to optimize</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Why evaluating generative AI has become much harder than training generative AI</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Has the gaming industry embraced narrative AI and generative AI in general?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How Hidden Door’s gaming models were trained</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How the role of data scientists is evolving in the era of generative AI</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Key lessons learned as an entrepreneur</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How do you get access to Hidden Door? </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Tell us about the vision behind your new startup Hidden Door which is essentially a generative AI game studio.</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How was Hidden Door trained?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What advice do you have about generative AI’s impact on game developers?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">In the age of generative AI, how do you see the relationship between traditional machine learning methods and generative models evolving? Where do you think traditional ML continues to hold value?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How do you see the role of data scientists evolving in the era of generative AI?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What are some of the key lessons you’ve learned from your journey as a tech entrepreneur, and how have they shaped your leadership style?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How do you build ethical businesses in a moment of technical change and uncertainty?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How can people follow your work?</span></li></ul><p><span style="font-weight: 400; color: #ffffff;">SHOW NOTES:</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Fast Forward Labs: </span><a style="color: #ffffff;" href="https://github.com/fastforwardlabs"><span style="font-weight: 400;">https://github.com/fastforwardlabs</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">– Hidden Door:</span><a style="color: #ffffff;" href="https://www.hiddendoor.co/"><span style="font-weight: 400;">https://www.hiddendoor.co/</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">– Hidden Door Discord: https://discord.com/invite/hiddendoor</span></p><p><span style="color: #ffffff;"><b>This episode was sponsored by: </b></span></p><p><span style="color: #ffffff;"><b>Ai+ Training</b><a style="color: #ffffff;" href="https://aiplus.training/"> <span style="font-weight: 400;">⁠</span><i><span style="font-weight: 400;">https://aiplus.training/</span></i><span style="font-weight: 400;">⁠</span></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b>And created in partnership with ODSC</b><a style="color: #ffffff;" href="https://odsc.com/"> <span style="font-weight: 400;">⁠</span><b>https://odsc.com/</b><span style="font-weight: 400;">⁠</span></a><b> </b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay 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class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BkvMwNQupA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BkvMwNQupA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-ByuzwEm_aR " ><style>.tatsu-ByuzwEm_aR.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJFzw4mdTR "><style>.tatsu-BJFzw4mdTR .tatsu-icon{color: #00bcdd ;}.tatsu-BJFzw4mdTR{border-width: 0px 0px 0px 0px;}</style><a href="https://spotifyanchor-web.app.link/e/3abVnAshrMb" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" 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;}.tatsu-r1izwNQOT0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/what-gaming-teaches-us-about-generative-ai-a/id1721516836?i=1000666947701" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BknfvVQd60 "><style>.tatsu-BknfvVQd60 .tatsu-icon{color: #00bcdd ;}.tatsu-BknfvVQd60{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/vi/731949503" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HkLzD4Xd6C.tatsu-column{width: 13.1%;}.tatsu-HkLzD4Xd6C.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HkLzD4Xd6C > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HkLzD4Xd6C > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HkLzD4Xd6C > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HkLzD4Xd6C > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HkLzD4Xd6C.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HkLzD4Xd6C.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HkLzD4Xd6C.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-H1wmmAajC" ><style>.tatsu-H1wmmAajC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rJgPQm0pj0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rybPmX06o0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rybPmX06o0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-rybPmX06o0 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 60: </span><strong>Preventing and Mitigating Damage from Real-Time Deepfakes with Ben Colman</strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode of ODSC’s Ai X Podcast, Sam Manning, Senior Research Fellow at the Centre for the Governance of AI will be discussing AI’s impact on work.</span></span></p></div></div><div class = " tatsu-HJMwXmR6jA accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-SJmD77A6sC" style="padding: 12px;">SHOW NOTES<style>.tatsu-SJmD77A6sC.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"> Sam gained significant attention last year when he co-authored a groundbreaking paper with colleagues from the University of Pennsylvania and OpenAI, examining the Labor Market Impact Potential of Large Language Models. </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">At the Centre for the Governance of AI, Sam focuses on measuring the economic impacts of frontier AI systems like LLMs and GenAI, and designs policy options to ensure that advanced AI fosters broadly shared economic prosperity.</span></span></span> <span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">In this episode, we’ll dive into Sam’s findings and explore how we can better measure and predict AI’s influence on work.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><b>Topics</b></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Guest introduction and role</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The Center for the Governance of AI and its mission</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The occupational exposure method for measuring AI’s impact</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Do predictions tell us whether the impact will be positive or negative </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"> <span style="font-weight: 400;">– Why lower-skilled less experienced workers are getting a much bigger boost in productivity than their more experienced, higher-skilled counterparts</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Why higher-income jobs face greater exposure to LLM capabilities, </span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Explanation of the rubrics developed for assessing task exposure and the automation potential of AI</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– How do we measure or evaluate which jobs are most likely to be replaced by AI</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Augmentation vs. Automation and what are the significant barriers to fully automating tasks with LLMs, and what role does augmentation play</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Real-world complexity and the challenges in accounting for the complexity of real-world jobs when evaluating AI’s impact?</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Discuss the limitations of the current methods for evaluating AI’s impact on labor markets</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– How to account for the potential future capabilities of AI in your evaluations?</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Significant findings from research on AI’s impact on income inequality?</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Why its important to consider both task-level and economy-wide impacts when assessing AI’s influence </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"> <span style="font-weight: 400;">– Task-Level Productivity: How do you measure the task-level productivity impacts of AI, and what have been some significant findings using this approach?</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Advice for navigating AI’s impact on their work and careers</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– How to follow Sam’s work</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><b>Show Notes:</b> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Some of Sam’s recent work includes:</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– A paper (https://www.science.org/doi/10.1126/science.adj0998) in Science magazine called GPTs are GPTs: Labor Market Impact Potential of LLMs, (also Arxiv link here</span><a href="https://arxiv.org/pdf/2303.10130"> <span style="font-weight: 400;">⁠https://arxiv.org/pdf/2303.10130⁠</span></a><span style="font-weight: 400;">)</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– An article (</span><a href="https://www.brookings.edu/articles/ais-impact-on-income-inequality-in-the-us/"><span style="font-weight: 400;">⁠https://www.brookings.edu/articles/ais-impact-on-income-inequality-in-the-us/⁠</span></a><span style="font-weight: 400;">) for the Brookings Institution investigating AI’s impact on earnings inequality</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– A GovAI blog post (https://www.governance.ai/post/predicting-ais-impact-on-work) on the topic of “automation evaluations” called “Predicting AI’s Impact on Work”. </span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Center for the Governance of AI:</span><a href="https://www.governance.ai/"> <span style="font-weight: 400;">⁠https://www.governance.ai/⁠</span></a> <span style="font-weight: 400;">– US Bureau of Labor Statistics:</span><a href="https://www.bls.gov/"> <span style="font-weight: 400;">⁠https://www.bls.gov/⁠</span></a> <span style="font-weight: 400;">– O*NET Resource Center:</span><a href="https://www.onetcenter.org/database.html"> <span style="font-weight: 400;">⁠https://www.onetcenter.org/database.html⁠</span></a> <span style="font-weight: 400;">– The customer service study by Erik Brynjolfsson, Linsdey Raymond, Danielle Li:</span><a href="https://www.nber.org/papers/w31161"> <span style="font-weight: 400;">⁠https://www.nber.org/papers/w31161⁠</span></a> <span style="font-weight: 400;">– The MIT study Sam mentioned on the cost-effectiveness of adopting computer vision systems to automate worker tasks:</span><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4700751"> <span style="font-weight: 400;">⁠https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4700751⁠</span></a> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Carl Frey’s book, The Technology Trap:</span><a href="https://press.princeton.edu/books/hardcover/9780691172798/the-technology-trap"> <span style="font-weight: 400;">⁠https://press.princeton.edu/books/hardcover/9780691172798/the-technology-trap⁠</span></a> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Sam’s Twitter:</span><a href="https://x.com/sj_manning"> <span style="font-weight: 400;">⁠https://x.com/sj_manning⁠</span></a> </span></span></p><p> </p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><b>This episode was sponsored by: </b> <b>Ai+ Training</b><a href="https://aiplus.training/"> <span style="font-weight: 400;">⁠</span><i><span style="font-weight: 400;">https://aiplus.training/</span></i><span style="font-weight: 400;">⁠</span></a><i><span style="font-weight: 400;"> </span></i> <i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><b>And created in partnership with ODSC</b><a href="https://odsc.com/"> <span style="font-weight: 400;">⁠</span><b>https://odsc.com/</b><span style="font-weight: 400;">⁠</span></a><b> </b> <i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i> <span style="font-weight: 400;">Never miss an episode, subscribe now!</span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rJgPQm0pj0.tatsu-column{width: 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class="tatsu-module tatsu-text-block-wrap tatsu-ByPPXQ0TjC "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ByPPXQ0TjC.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-Hk_DX7ATsR " ><style>.tatsu-Hk_DX7ATsR.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1FDXQRpsA "><style>.tatsu-S1FDXQRpsA .tatsu-icon{color: #00bcdd ;}.tatsu-S1FDXQRpsA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Predicting-AIs-Impact-on-Work-with-Sam-Manning-e2ne1c2?%24web_only=true&_branch_match_id=1187174067928470385&utm_source=web&utm_campaign=web-share&utm_medium=sharing&_branch_referrer=H4sIAAAAAAAAA8soKSkottLXLy7IL8lMq0zMS87IL9ItT03SSywo0MvJzMvWT9UPyy0rCI4KMkrxTQIAYsSwrjAAAAA%3D" 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tatsu-icon-shortcode align-none tatsu-H1sPQXApiR "><style>.tatsu-H1sPQXApiR .tatsu-icon{color: #00bcdd ;}.tatsu-H1sPQXApiR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/predicting-ais-impact-on-work-with-sam-manning/id1721516836?i=1000666045900" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJ2DmQCaoR "><style>.tatsu-HJ2DmQCaoR .tatsu-icon{color: #00bcdd ;}.tatsu-HJ2DmQCaoR{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id730029901?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_730029901&utm_content=Predicting%20AI%E2%80%99s%20Impact%20on%20Work%20with%20Sam%20Manning-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S18vm7A6oR.tatsu-column{width: 13.1%;}.tatsu-S18vm7A6oR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S18vm7A6oR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S18vm7A6oR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S18vm7A6oR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S18vm7A6oR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S18vm7A6oR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S18vm7A6oR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S18vm7A6oR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HkwEL5NoC" ><style>.tatsu-HkwEL5NoC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-H1xPVUq4iR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SybwNLqNiC "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SybwNLqNiC.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-SybwNLqNiC .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 59: </span><strong>Preventing and Mitigating Damage from Real-Time Deepfakes with Ben Colman</strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode we speak with Ben Colman, CEO and Co-Founder of Reality Defender, about the dangers of deepfakes, specifically real-time and audio deepfakes.</span></span></p></div></div><div class = " tatsu-S1GvEIqVoA accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-SkXwEL5EoR" style="padding: 12px;">SHOW NOTES<style>.tatsu-SkXwEL5EoR.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;">In this episode of ODSC’s Ai X Podcast, we speak with Ben Colman, who is the CEO and Co-Founder of Reality Defender, an award-winning deepfake detection platform helping enterprises flag fraudulent users and content. Over the past 15 years, Ben has scaled multiple companies at the intersection of cybersecurity and data science.</span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;">Our discussion will go in-depth into the realm of deepfakes, including real-time deepfakes, fake phone calls, and how the everyday person is at risk of being scammed by deepfakes.</span></span></p><p> </p><p><strong><span style="color: #ffffff;">Questions</span></strong><b><span style="color: #ffffff;">:</span></b></p><ol><li><span style="font-weight: 400;"> <span style="color: #ffffff;">Tell me a bit more about yourself and your background.</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">Why did you create Reality Defender? What spurred your passion here?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">Generative AI has been a huge proponent of deepfakes – can you tell us a bit more about the current state of deepfakes and Gen AI?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">If we don’t address deepfakes now, what are some major issues we could face?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">Can you give some examples of how deepfakes have caused problems?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">How has Reality Defender addressed deepfakes? Can you provide some examples or case studies?</span></span></li><li><span style="font-weight: 400;"><span style="color: #ffffff;"> How can the everyday person – aka someone not AI or data science savvy – protect themselves from deepfakes?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">Why should the everyday person be concerned about deepfakes?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">What’s the current state of political regulation around deepfakes? Do you think elected officials are doing enough? I read that you spoke to a Senate Committee in April about this, so I’m guessing you’re passionate here too?</span></span></li><li><span style="font-weight: 400;"> <span style="color: #ffffff;">Is there anything else you’d like to add?</span></span></li></ol><p> </p><p><b><span style="color: #ffffff;">Show Notes:</span></b></p><p> </p><p><span style="font-weight: 400;"><span style="color: #ffffff;">Reality Defender:</span></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Website: </span><a href="https://www.realitydefender.com/"><span style="font-weight: 400;">https://www.realitydefender.com/</span></a></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Jobs board: </span><a href="https://www.realitydefender.com/open-positions"><span style="font-weight: 400;">https://www.realitydefender.com/open-positions</span></a></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Blog: </span><a href="https://www.realitydefender.com/blog"><span style="font-weight: 400;">https://www.realitydefender.com/blog</span></a></span></p><p> </p><p><span style="font-weight: 400;"><span style="color: #ffffff;">Ben Colman:</span></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Reality Defender bio: </span><a href="https://www.realitydefender.com/team-members/ben-colman"><span style="font-weight: 400;">https://www.realitydefender.com/team-members/ben-colman</span></a></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">LinkedIn: </span><a href="https://www.linkedin.com/in/benpcolman/"><span style="font-weight: 400;">https://www.linkedin.com/in/benpcolman/</span></a></span></p><p> </p><p><span style="font-weight: 400;"><span style="color: #ffffff;">In the news:</span></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Ben’s Congressional testimony summary: </span><a href="https://www.realitydefender.com/blog/ben-colmans-congressional-testimony-on-election-deepfakes"><span style="font-weight: 400;">https://www.realitydefender.com/blog/ben-colmans-congressional-testimony-on-election-deepfakes</span></a></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Congressional testimony full video: </span><a href="https://www.youtube.com/watch?v=1iodylhNdcU"><span style="font-weight: 400;">https://www.youtube.com/watch?v=1iodylhNdcU</span></a></span></p><p><span style="font-weight: 400;">– <span style="color: #ffffff;">Funding round: </span><a href="https://techcrunch.com/2023/10/17/reality-defender-raises-15m-to-detect-text-video-and-image-deepfakes/"><span style="font-weight: 400;">https://techcrunch.com/2023/10/17/reality-defender-raises-15m-to-detect-text-video-and-image-deepfakes/</span></a></span></p><p> </p><p><b><i><span style="color: #ffffff;">This episode was sponsored by: </span></i></b></p><p><b><i><span style="color: #ffffff;">Ai+ Training</span></i></b> <a href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></p><p><i><span style="font-weight: 400;"><span style="color: #ffffff;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></span></i></p><p><b><i><span style="color: #ffffff;">And created in partnership with ODSC </span></i></b><a href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></p><p><i><span style="font-weight: 400;"><span style="color: #ffffff;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></span></i></p><p><span style="font-weight: 400;"><span style="color: #ffffff;">Never miss an episode, subscribe now!</span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-H1xPVUq4iR.tatsu-column{width: 37.89%;}.tatsu-H1xPVUq4iR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-H1xPVUq4iR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-H1xPVUq4iR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-H1xPVUq4iR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-H1xPVUq4iR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-H1xPVUq4iR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-H1xPVUq4iR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-H1xPVUq4iR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ByVP4U9ViA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-rySPNUqEsR " ><p class="p1"><div id="audioigniter-117394" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=117394" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-ByVP4U9ViA.tatsu-column{width: 49%;}.tatsu-ByVP4U9ViA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-ByVP4U9ViA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ByVP4U9ViA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ByVP4U9ViA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ByVP4U9ViA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ByVP4U9ViA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ByVP4U9ViA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ByVP4U9ViA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-rJ8DEUcNoC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rkPDEU9Es0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rkPDEU9Es0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-Hy_DE8c4iC " ><style>.tatsu-Hy_DE8c4iC.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SyFP4I9Vo0 "><style>.tatsu-SyFP4I9Vo0 .tatsu-icon{color: #00bcdd ;}.tatsu-SyFP4I9Vo0{border-width: 0px 0px 0px 0px;}</style><a href="https://spotifyanchor-web.app.link/e/IEW8mElh2Lb" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r19D4Lc4sA "><style>.tatsu-r19D4Lc4sA .tatsu-icon{color: #00bcdd ;}.tatsu-r19D4Lc4sA{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/preventing-and-mitigating-damage-from-real-time-deepfakes-with-ben-colman?si=c1492c0fa21640fc96123dd27e813edf&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1jP48cNj0 "><style>.tatsu-B1jP48cNj0 .tatsu-icon{color: #00bcdd ;}.tatsu-B1jP48cNj0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/preventing-and-mitigating-damage-from-real-time/id1721516836?i=1000665179985" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SkhDEL5Eo0 "><style>.tatsu-SkhDEL5Eo0 .tatsu-icon{color: #00bcdd ;}.tatsu-SkhDEL5Eo0{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id727621257?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_727621257&utm_content=Preventing%20and%20Mitigating%20Damage%20from%20Real-Time%20Deepfakes%20with%20Ben%20Colman-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rJ8DEUcNoC.tatsu-column{width: 13.1%;}.tatsu-rJ8DEUcNoC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rJ8DEUcNoC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rJ8DEUcNoC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJ8DEUcNoC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rJ8DEUcNoC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rJ8DEUcNoC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rJ8DEUcNoC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rJ8DEUcNoC.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HJtI-S55C" ><style>.tatsu-HJtI-S55C.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-S1eYI-B95A" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-B1WF8WH59R "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-B1WF8WH59R.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-B1WF8WH59R .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 58: </span><strong>Generative AI: Best Practices from Top Companies on GenAI Production Deployment with Lukas Biewald</strong></p><p><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, Lukas Biewald, the founder and CEO of Weights & Biases, one of the goto platforms for machine learning, joins us to discuss Best Practices for GenAI in Production.</span></span><span style="font-weight: 400;"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> <br />This discussion will focus on the best practices for integrating GenAI into production, with a particular focus on the importance of robust evaluation frameworks and key metrics for tracking performance.</span></span></p></div></div><div class = " tatsu-hswtjmqirobaq51h accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-hswtjmqityftuo2x" style="padding: 12px;">SHOW NOTES<style>.tatsu-hswtjmqityftuo2x.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;">Prior to founding Weights & Biases, Lukas co-founded Figure Eight (formerly CrowdFlower),<span style="font-weight: 400;"><span style="color: #ffffff;">a pioneer in the ML</span><span style="font-weight: 400;"> data-labeling space that was subsequently acquired by Appen in 2019. </span></span></span></span><span style="font-weight: 400;"><span style="color: #ffffff;"> </span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"> This discussion will focus on the best practices for integrating GenAI into production, with a particular focus on the importance of robust evaluation frameworks and key metrics for tracking performance. </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;">Lukas will also share insights on using Weights & Biases and the newest platform, Weave, for model evaluation and strategies for effective model monitoring. </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;">Last, but not least, he’ll touch on the non-deterministic nature of GenAI models, share his perspective on the current AI landscape, and share advice on running a startup. </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>SHOW NOTES</b></span></span></span></p><p><span style="font-weight: 400;">Learn more about the platforms:</span> <span style="font-weight: 400;">Weave: </span><a href="https://wandb.github.io/weave/"><span style="font-weight: 400;">https://wandb.github.io/weave/</span></a><span style="font-weight: 400;"> </span> <span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;">Weights and Bias: </span><a href="https://github.com/wandb"><span style="font-weight: 400;">https://github.com/wandb</span></a> <span style="font-weight: 400;"><span style="color: #ffffff;">Blog: </span><a href="https://wandb.ai/fully-connected"><span style="font-weight: 400;">https://wandb.ai/fully-connected</span></a><span style="font-weight: 400;"> </span> <span style="font-weight: 400;"><span style="color: #ffffff;">Listen to Lukas’ Podcast: </span><a href="https://podcasts.apple.com/us/podcast/gradient-dissent-conversations-on-ai/id1504567418"><span style="font-weight: 400;">https://podcasts.apple.com/us/podcast/gradient-dissent-conversations-on-ai/id1504567418</span></a> <span style="font-weight: 400;"><span style="color: #ffffff;"> <a href="https://github.com/outlines-dev/outlines"><span style="font-weight: 400;">https://github.com/outlines-dev/outlines</span></a> <a href="https://github.com/guardrails-ai/guardrails"><span style="font-weight: 400;">https://github.com/guardrails-ai/guardrails</span></a></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"> <span style="font-weight: 400;"><span style="color: #ffffff;"> <span style="font-weight: 400;"><span style="color: #ffffff;">L</span></span></span></span></span></span></span></span></span></span><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;">earn more about Edward Rutherfurd’s Books:</span> <a href="https://www.edwardrutherfurd.com/edward-rutherfurd-books.html"><span style="font-weight: 400;">https://www.edwardrutherfurd.com/edward-rutherfurd-books.html </span></a></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="font-weight: 400;">Topics:</span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;">1. Introduction</span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;">2. Tell us about your journey</span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>Best practices for getting GenAI into Production</b> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> Set the context. Tell us about WandB</span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> What are some of the best practices for getting into GenAI right now?</span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"> <b>–</b><span style="font-weight: 400;"> How are companies handling model evaluation? </span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> Tell us about Weave </span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"> <b>–</b><span style="font-weight: 400;"> What about model monitoring? </span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> How are companies handling the non-deterministic nature of GenAI models?</span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> What part of GenAI is overhyped?</span> <b>–</b><span style="font-weight: 400;"> What is underhyped?</span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b> <span style="font-weight: 400;">Is the stack going to get more complex and are better tools needed? </span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>Startups and Investing </b> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> What are some of the biggest lessons you’ve learned as a successful entrepreneur?</span> </span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><b>–</b><span style="font-weight: 400;"> What do you look for in startups? </span> <span style="font-weight: 400;"><span style="color: #ffffff;"> When founders ask you for advice, what questions should they ask more?</span> <span style="font-weight: 400;"><span style="color: #ffffff;"> How do you hire great engineering talent in a very competitive market?</span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;">– What do you like to read in your downtime?</span> </span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;">– How can people follow your work?</span> </span></span></span></span></span></span></span></span></span></span></span></span></p><p> </p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><strong>This episode was sponsored by:</strong> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i> <span style="font-weight: 400;"><span style="color: #ffffff;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC 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src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1EKUZrq5C.tatsu-column{width: 13.1%;}.tatsu-r1EKUZrq5C.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1EKUZrq5C > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1EKUZrq5C > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1EKUZrq5C > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1EKUZrq5C > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1EKUZrq5C.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1EKUZrq5C.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1EKUZrq5C.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-r1h3Rb9F0" ><style>.tatsu-r1h3Rb9F0.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ryl3nC-ctA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-H1Whn0Z9KR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-H1Whn0Z9KR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-H1Whn0Z9KR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 57: </span><strong>On Learning-Aware Mechanism Design with Michael I. Jordan</strong></p><p><span style="font-weight: 400;">This is a previously recorded interview from early 2023 with one of computer science’s most influential pioneers that we are rereleasing on our podcast platform for a wider audience.</span></p><p><span style="font-weight: 400;">In this episode, the incredibly accomplished Michael I. Jordan joins us for a discussion on learning-aware mechanism design.</span></p></div></div><div class = " tatsu-hswurx5jkn1uvr64 accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-hswurx5jmqak4jy1" style="padding: 12px;">SHOW NOTES<style>.tatsu-hswurx5jmqak4jy1.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Michael, currently a Distinguished Professor at the University of California, Berkeley, has made significant contributions to the field of AI throughout his extensive career. </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">In 2016, he was named the “most influential computer scientist” worldwide in Science magazine. </span> <span style="font-weight: 400;">Michael is a member of many distinguished associations including the American Association for the Advancement of Science. </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">He is also the recipient of many awards, including the Ulf Grenander Prize from the American Mathematical Society (2021) and the IEEE John von Neumann Medal (2020).</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">This episode will delve into learning-aware mechanism design, a subfield of mechanism design, a branch of economics that studies the design of rules and procedures for decision-making in strategic settings with the goal of creating mechanisms that are more efficient, fair, and robust by incorporating insights from machine learning.</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Topics:</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Guest’s professional background and journey to current position</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Guest’s definition and understanding of machine learning</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The history of machine learning </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"> <span style="font-weight: 400;">– How your thinking has evolved since then due to advance in the field of ML and the economic impact of COVID on the behavior of individuals and companies</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The importance of two-sided marketplace for agents </span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Limitations of the recommendation system</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"> <span style="font-weight: 400;">– How do we solve data equality problems in market driven decision algorithms</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Ways machine learning can improve decision-making under uncertainty</span> <span style="font-weight: 400;">– Market dynamic of scarcity when it comes to the designing system </span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The role of government regulation for AI </span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Why federated learning is a necessity</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The possible development of Generative AI applications into two sided markets or ad revenue-based business model</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– The models that work best</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">– Advice about the future and direction of AI</span> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"> <b>Show Notes:</b> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">More about Michael I. Jordan, PhD:</span> <a href="https://www.linkedin.com/in/michael-jordan-767032125/"><span style="font-weight: 400;">https://www.linkedin.com/in/michael-jordan-767032125/</span> </a><a href="https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html"><span style="font-weight: 400;">https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html</span> </a><a href="https://scholar.google.com/citations?user=yxUduqMAAAAJ&hl=en"><span style="font-weight: 400;">https://scholar.google.com/citations?user=yxUduqMAAAAJ&hl=en</span></a> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b> <b><i>Ai+ Training</i></b> <a href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i> <i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b> <i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i> </span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Never miss an episode, subscribe now!</span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ryl3nC-ctA.tatsu-column{width: 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tatsu-SyS22RbqKA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SyS22RbqKA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-HkU2hCW5tA " ><style>.tatsu-HkU2hCW5tA.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Hyw230W5tC "><style>.tatsu-Hyw230W5tC .tatsu-icon{color: #00bcdd ;}.tatsu-Hyw230W5tC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/On-Learning-Aware-Mechanism-Design-with-Michael-I--Jordan-e2mdfjr" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJd230W5YR "><style>.tatsu-BJd230W5YR .tatsu-icon{color: #00bcdd ;}.tatsu-BJd230W5YR{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/NxF5FFD2We4G8B439" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyF22Cb9tA "><style>.tatsu-HyF22Cb9tA .tatsu-icon{color: #00bcdd ;}.tatsu-HyF22Cb9tA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000663231106" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" 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tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HyVhhAW9t0.tatsu-column{width: 13.1%;}.tatsu-HyVhhAW9t0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HyVhhAW9t0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HyVhhAW9t0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HyVhhAW9t0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HyVhhAW9t0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HyVhhAW9t0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HyVhhAW9t0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HyVhhAW9t0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-BknicCeFR" ><style>.tatsu-BknicCeFR.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SkxnoqAxY0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BkZhocRxF0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BkZhocRxF0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-BkZhocRxF0 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 56: </span><strong>The Future of Databases and Raising Startup Funding with Mike Stonebraker</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, Dr. Mike Stonebraker, a rare breed of incredibly successful academic and entrepreneur, joins us to discuss the future of databases and how to raise funding for a startup. Dr. Stonebraker has been a pioneer of database research and technology for more than a quarter century. He was the main architect of both the INGRES relational database, and the hugely popular POSTGRES relational database, which he developed at UC Berkeley during his 25 years as a Professor of Computer Science.</span></p></div></div><div class = " tatsu-ht4xljdhrbm4w83 accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ht4xljdht81xu7e" style="padding: 12px;">SHOW NOTES<style>.tatsu-ht4xljdht81xu7e.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Dr. Stonebraker has been a pioneer of database research and technology for more than a quarter century. He was the main architect of both the INGRES relational database, and the hugely popular POSTGRES relational database, which he developed at UC Berkeley during his 25 years as a Professor of Computer Science. </span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">After he moved to MIT, he co-architected the C-Store column-oriented DBMS, the H-Store OLTP DBMS, the SciDB array DBMS, and the Data Tamer integration engine and the Kyrix (kyrix) visualization system.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">He also developed Aurora, a real-time event processing platform which revolutionized the way businesses analyze streaming data and later became Streambase in the early 2000s.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Mike is also the founder of 11 venture-capital backed startups, including companies like the very successful Vertica and VoltDB.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">In recognition of his impressive contributions, he’s been awarded some of the highest academic honors, including the IEEE John Von Neumann prize and the ACM Turing Award in 2014 to mention just a few.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Topics:<br />1- Guest introduction and early work on databases at UC Berkeley<br />2- Motivation for Postgres and its extendable features<br />3- The Aurora/Borealis/StreamBase – early streaming platforms<br />4- Eliminating the need for traditional OS components like Linux and Kubernetes<br />5- DBOS, a database operating system, description and motivation<br />6- The advantage of Function as Service for Databases on the Cloud<br />7- Dealing with race conditions and Heisenbugs<br />8- The shortcomings of the Modern Data Stack<br />9- Time traveling and debugging with DBOS<br />10- The security advantages of using DBOS compared to traditional OS stacks<br />11- Building resilience against ransomware attacks and other security threats<br />12- Discuss the challenges and potential benefits for companies adopting DBOS<br />13- Function as a service model and only paying for what you use.<br />14- Whats next for DBOS</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Startups and Raising Capital<br />– Secrets of assembled high-performing teams for startup ventures.<br />– Leading by example and lead by being right<br />– The biggest hurdles faced in launching new startups<br />– How to negotiate deals with a VC and the VC “Rock Fetch”</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">SHOW NOTES:</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Dr. Mike Stonebraker<br />https://en.wikipedia.org/wiki/Michael_Stonebraker</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">DBOS Project page<br />https://dbos-project.github.io/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more aboutHOPORA.io<br />https://dbos-project.github.io/<br />https://hopara.io/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Ingres<br />https://en.wikipedia.org/wiki/Ingres_(database)</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Postgres<br />https://www.postgresql.org/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about the Aurora and Borealis Stream Processing Engines<br />https://homes.cs.washington.edu/~magda/borealis-book.pdf</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about voltDB<br />https://www.voltactivedata.com/company/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Vertica<br />https://www.vertica.com/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Streambase:<br />https://marketswiki.com/wiki/StreamBase_Systems</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Heisenbug:<br />https://en.wikipedia.org/wiki/Heisenbug</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about time travel debugging:<br />https://docs.dbos.dev/cloud-tutorials/timetravel-debugging</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about the modern data stack https://www.fivetran.com/blog/what-is-the-modern-data-stack</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">This episode was sponsored by:<br />Ai+ Training https://aiplus.training/<br />Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">And created in partnership with ODSC https://odsc.com/<br />The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Never miss an episode, subscribe now!</span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SkxnoqAxY0.tatsu-column{width: 37.89%;}.tatsu-SkxnoqAxY0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SkxnoqAxY0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SkxnoqAxY0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SkxnoqAxY0 > 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9999;}.tatsu-H1f2j90gYR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-H1f2j90gYR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-H1f2j90gYR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-H1f2j90gYR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-S1Vhi5Cxt0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkH3i9AgFC "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkH3i9AgFC.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-ryI3ocAeY0 " ><style>.tatsu-ryI3ocAeY0.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJPnj90xYR "><style>.tatsu-BJPnj90xYR .tatsu-icon{color: #00bcdd ;}.tatsu-BJPnj90xYR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/The-Future-of-Databases-and-Raising-Startup-Funding-with-Mike-Stonebraker-e2m3gg7" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rkO3icCgF0 "><style>.tatsu-rkO3icCgF0 .tatsu-icon{color: #00bcdd 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tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1q2s9RxYA "><style>.tatsu-r1q2s9RxYA .tatsu-icon{color: #00bcdd ;}.tatsu-r1q2s9RxYA{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id719810523?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_719810523&utm_content=The%20Future%20of%20Databases%20and%20Raising%20Startup%20Funding%20with%20Mike%20Stonebraker-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1Vhi5Cxt0.tatsu-column{width: 13.1%;}.tatsu-S1Vhi5Cxt0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1Vhi5Cxt0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1Vhi5Cxt0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1Vhi5Cxt0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1Vhi5Cxt0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1Vhi5Cxt0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1Vhi5Cxt0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1Vhi5Cxt0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-ryw5mGr_A" ><style>.tatsu-ryw5mGr_A.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ByePqQMrOC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Sk-P5mfBuC "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Sk-P5mfBuC.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-Sk-P5mfBuC .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 55: </span><strong>Small Language Models with Luca Antiga</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, Luca Antiga, CTO of Lightning AI and ODSC East 2024 speaker, joins us to discuss Small Language Models (SLMs).<br />We’ll explore the differences between SLMs and Large Language Models (LLMs), examine the importance of data quality in training SLMs, and talk about key SLM frameworks such as TinyLama.</span></p></div></div><div class = " tatsu-ht4xqp04ylytdwd accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ht4xqp05196jkxd0" style="padding: 12px;">SHOW NOTES<style>.tatsu-ht4xqp05196jkxd0.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Lightning AI, well regarded for providing tools and platforms that streamline workflows for machine learning engineers and AI researchers, was founded by the creators of the very popular open-source framework PyTorch Lightning.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Luca himself was an early contributor to the PyTorch core library and co-authored the book “Deep Learning with PyTorch”.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">In this interview, we’ll explore the differences between SLMs and Large Language Models (LLMs), examine the importance of data quality in training SLMs, and talk about key SLM frameworks such as TinyLama.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">We’ll also touch on the process of combining SLMs with Retrieval Augmented Generation (RAG), address hallucinations within SLMs in particular, and how to deploy SLMs into production.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">SHOWNOTE TOPICS:</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Guest Introduction<br />Explanation of Small Language Models (SLMs) is and how they differ from Large Language Models (LLMs)?<br />How SLMs are trained and the importance of data quality<br />Continued pre-training vs fine-tuning<br />Incontext learning for LLMs<br />Benchmarking LLMS with MMLU<br />Small Language Model (SLM) frameworks such as MiniCPM, TinyLlama, and LitGPT<br />Combining SLMs with Retrieval Augmented Generation (RAG) and fine-tuning<br />Why SLMs are more prone to hallucinations than LLMs and how to solve<br />LLMs and SLMs in production – minimizing risks and maximizing value<br />The problem of over optimizing on AI solutions<br />Practical applications of SLMs,<br />Small Language Model (SLM) training challenges<br />Overview of Lightning studio<br />AI Agents and challenges<br />Compute access from single to multi-GPUs<br />Using lightning studio to easily switch between compute setups<br />Quick fire questions:<br />Will more foundational LLMs emerge?<br />Open source vs closed-scouce LLM<br />Artificial General Intelligence?<br />In this fast paced environment what should practitioners focus on?<br />What are companies getting wrong with AI now?<br />What are companies getting right with AI?</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">SHOW NOTES:</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Luca Antiga, CTO at Lightning AI:<br />https://www.linkedin.com/in/lantiga/?originalSubdomain=it</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Lightning AI and PyTorch Lightning:<br />https://lightning.ai/<br />https://lightning.ai/docs/pytorch/stable/<br />https://github.com/Lightning-AI<br />https://pytorch.org/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Small Language Models<br />https://opendatascience.com/the-growth-of-small-language-models/<br />https://opendatascience.com/6-small-language-models-to-get-the-job-done-with-ease/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">MMLU (Multi-task Language Understanding) Benchmark:<br />https://arxiv.org/pdf/2009.03300</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies<br />https://ar5iv.labs.arxiv.org/html/2404.06395</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Small Language Model Frameworks:<br />https://github.com/jzhang38/TinyLlama<br />https://github.com/Lightning-AI/litgpt</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Why Larger Language Models Do In-context Learning Differently?<br />https://arxiv.org/abs/2405.19592</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about RAG:<br />https://github.blog/2024-04-04-what-is-retrieval-augmented-generation-and-what-does-it-do-for-generative-ai/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about dottxt:<br />https://dottxt.co/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about structured text generation:<br />https://github.com/outlines-dev/outlines</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about HyperTalk:<br />https://en.wikipedia.org/wiki/HyperTalk</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about crewAI:<br />https://github.com/joaomdmoura/crewAI</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Lightning AI Studios:<br />https://lightning.ai/studios</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Concurrent Versions System:<br />https://en.wikipedia.org/wiki/Concurrent_Versions_System</span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ByePqQMrOC.tatsu-column{width: 37.89%;}.tatsu-ByePqQMrOC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ByePqQMrOC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ByePqQMrOC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ByePqQMrOC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ByePqQMrOC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ByePqQMrOC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ByePqQMrOC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ByePqQMrOC.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJfv5XzS_C" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-rkmP97fBd0 " ><p class="p1"><b><div id="audioigniter-114800" 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.tatsu-bottom-divider{z-index: 9999;}.tatsu-HJfv5XzS_C > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJfv5XzS_C > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJfv5XzS_C.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJfv5XzS_C.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJfv5XzS_C.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-r1VPcQGH_0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-B1Hw9QzS_R "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-B1Hw9QzS_R.tatsu-text-block-wrap 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.tatsu-icon{color: #00bcdd ;}.tatsu-ByOD5mfHOA{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/xL1FW8bzZp3BgwK17" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJKP97fSd0 "><style>.tatsu-HJKP97fSd0 .tatsu-icon{color: #00bcdd ;}.tatsu-HJKP97fSd0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/small-language-models-with-luca-antiga/id1721516836?i=1000661682191" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1cP9QzSOC "><style>.tatsu-B1cP9QzSOC .tatsu-icon{color: #00bcdd ;}.tatsu-B1cP9QzSOC{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id717875696?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_717875696&utm_content=Small%20Language%20Models%20with%20Luca%20Antiga-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1VPcQGH_0.tatsu-column{width: 13.1%;}.tatsu-r1VPcQGH_0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1VPcQGH_0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1VPcQGH_0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1VPcQGH_0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1VPcQGH_0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1VPcQGH_0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1VPcQGH_0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1VPcQGH_0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SkP6kCoD0" ><style>.tatsu-SkP6kCoD0.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rkxvpk0iD0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1bP6JAivR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1bP6JAivR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-S1bP6JAivR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 54: </span><strong>World Models – A Deep Dive With Andre Franca</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, we take a deep dive into the fascinating universe of World Models. We’ll unpack how they differ from traditional, purely predictive models, and explore key characteristics of World Models and how they empower AI agents to revolutionize the AI landscape.</span></p></div></div><div class = " tatsu-ht4xts8fj8f5uvhr accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ht4xts8fm744rtlj" style="padding: 12px;">SHOW NOTES<style>.tatsu-ht4xts8fm744rtlj.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">We’ll delve into the limitations of passive observation and into the power of intervention, expose the pitfalls of curve fitting in machine learning, and explore the “shadow problem” that makes building World Models from data so challenging.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Later, we’ll discuss the powerful role of inductive biases in making World Models tractable. We’ll also unpack the core principles of cutting-edge research areas like Causal AI, Generative Flow Networks, and Active Inference, and explore why these advancements are crucial for achieving Artificial General Intelligence (AGI).</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Finally, Andre will share his startup journey and explain why he believes “a world model is all you need.”</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Andre Franca is the co-founder and CTO of connectedFlow, which is developing the next generation of AI co-pilots. His previous roles include the VP of R&D at causaLens, and executive director at Goldman Sachs. Andre received his PhD in theoretical physics from the University of Munich.</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Topics:<br />Guest introduction and background<br />Understanding world models and how they differ from purely predictive models<br />The history behind world models and early research<br />The key characteristics of world models<br />How AI Agents will take the AI world by storm<br />Deep dive on how world models differ from traditional predictive models<br />Passive observation versus intervention in the context of world models<br />The main disadvantages of curve fitting in machine learning<br />Why is it challenging to build World Models from data?<br />How the analogy of 2D shadows and 3D objects relate to the problem of tractability in World Models<br />What are inductive biases and how they help in making World Models tractable<br />Core principles and significance of causal AI, generative flow networks, and active inference<br />Why World Models essential for achieving artificial general intelligence (AGI)<br />Tell us about your startup and why a ”world model is all you need”</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Show Notes:<br />More about Andre Franca:<br />https://www.linkedin.com/in/francaandre/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Resources:<br />World Model. Paper by David Ha & Jurgen Smithhuber where they explore building generative neural network models of popular reinforcement learning environments<br />https://arxiv.org/abs/1803.10122</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">NeurIPS 2018 World Models workshop – Can agents learn inside of their own dreams?<br />https://worldmodels.github.io/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Open AI GYM (A toolkit for developing and comparing reinforcement learning algorithms ) and Gymnasium<br />https://github.com/Farama-Foundation/Gymnasium</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Atari Game on GYM Retro – a platform for reinforcement learning research on games including 70 Atari games and 30 Sega games and over 1,000 games across a variety of backing emulators<br />https://openai.com/index/gym-retro/</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Definitions:<br />Curve Fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points<br />https://en.wikipedia.org/wiki/Curve_fitting</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Neuro-symbolic AI – a type of artificial intelligence that integrates neural and symbolic AI architectures to address the weaknesses of each, providing a robust AI capable of reasoning, learning, and cognitive modeling<br />https://en.wikipedia.org/wiki/Neuro-symbolic_AI</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Convolutional neural networks (CNN): a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel) optimization<br />https://en.wikipedia.org/wiki/Convolutional_neural_network</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Free Energy Principle : a theoretical framework suggesting that the brain reduces surprise or uncertainty by making predictions based on internal models and updating them using sensory input.<br />https://en.wikipedia.org/wiki/Free_energy_principle</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Bayesian probability<br />https://en.wikipedia.org/wiki/Bayesian_probability</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Artificial general intelligence (AGI): a type of artificial intelligence (AI) that matches or surpasses human capabilities across a wide range of cognitive tasks.<br />https://en.wikipedia.org/wiki/Neuro-symbolic_AI</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Causal inference: the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system.<br />https://en.wikipedia.org/wiki/Artificial_general_intelligence</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">This episode was sponsored by:<br />Ai+ Training https://aiplus.training/<br />Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">And created in partnership with ODSC https://odsc.com/<br />The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></span></span></p><p><span style="font-weight: 400;"><span style="color: #ffffff;"><span style="font-weight: 400;">Never miss an episode, subscribe now!</span></span></span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rkxvpk0iD0.tatsu-column{width: 37.89%;}.tatsu-rkxvpk0iD0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rkxvpk0iD0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rkxvpk0iD0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rkxvpk0iD0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rkxvpk0iD0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rkxvpk0iD0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rkxvpk0iD0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rkxvpk0iD0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-B1MDpkRiDR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-BJmDpyAoDA " ><p class="p1"><div id="audioigniter-113576" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=113576" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" 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.tatsu-B1MDpkRiDR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1MDpkRiDR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1MDpkRiDR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HyEDTJCsv0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJSwayCovA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJSwayCovA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-B18P6JAiwC " ><style>.tatsu-B18P6JAiwC.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkDPayAoDA "><style>.tatsu-BkDPayAoDA .tatsu-icon{color: #00bcdd ;}.tatsu-BkDPayAoDA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/World-Models---A-Deep-Dive-With-Andre-Franca-e2l8t0l" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1_P6JCsv0 "><style>.tatsu-r1_P6JCsv0 .tatsu-icon{color: #00bcdd ;}.tatsu-r1_P6JCsv0{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/7YMRpGKxqvFEhYP37" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJFD610jvR "><style>.tatsu-SJFD610jvR .tatsu-icon{color: #00bcdd ;}.tatsu-SJFD610jvR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000660341197" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-By5vpyAjPA "><style>.tatsu-By5vpyAjPA .tatsu-icon{color: #00bcdd ;}.tatsu-By5vpyAjPA{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id713932007?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_713932007&utm_content=World%20Models%20-%20A%20Deep%20Dive%20With%20Andre%20Franca-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HyEDTJCsv0.tatsu-column{width: 13.1%;}.tatsu-HyEDTJCsv0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HyEDTJCsv0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HyEDTJCsv0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HyEDTJCsv0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HyEDTJCsv0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HyEDTJCsv0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HyEDTJCsv0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HyEDTJCsv0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-r1lAY5cLC" ><style>.tatsu-r1lAY5cLC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rkegAtqcLA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HyZgCYc98C "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HyZgCYc98C.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-HyZgCYc98C .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 53: </span><strong>How to Evaluate Large Language Models and RAG Applications with Pasquale Antonante</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, Pasquale Antonante, Co-Founder & CTO of Relari AI, joins us to discuss evaluation methods for LLM and RAG applications. Pasquale has a PhD from MIT, where he focused on the reliability of complex AI systems. At Relari AI, they are building an open-source platform to simulate, test, and validate complex generative AI (GenAI) applications.</span></p></div></div><div class = " tatsu-ht4z8lapg4bflhe1 accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ht4z8lapjcejpo7e" style="padding: 12px;">SHOW NOTES<style>.tatsu-ht4z8lapjcejpo7e.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">In this episode, Pasquale Antonante, Co-Founder & CTO of Relari AI, joins us to discuss evaluation methods for LLM and RAG applications. Pasquale has a PhD from MIT, where he focused on the reliability of complex AI systems. At Relari AI, they are building an open-source platform to simulate, test, and validate complex generative AI (GenAI) applications.</span></p><p><span style="font-weight: 400; color: #ffffff;">During the interview, we’ll discuss Relari AI’s innovative approach to improving generative AI and RAG applications, which were inspired by the testing methodologies from the autonomous vehicle industry. </span></p><p><span style="font-weight: 400; color: #ffffff;">We’ll cover topics like the complexity of GenAI workflows, the challenges in evaluating these systems, and various evaluation methods such as reference-based, and synthetic data-based approaches. We’ll also explore metrics like precision, recall, faithfulness, and relevance, and compare GPT auto-evaluators with simulated user feedback.</span></p><p><span style="font-weight: 400; color: #ffffff;">Finally, we’ll highlight Relari’s continuous-eval open-source project and the future of leveraging synthetic data for LLM finetuning.</span></p><p><span style="color: #ffffff;"><b>Topics</b></span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Guest background and about the startup – Relari AI</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What the LLM industry can learn from the autonomous vehicle space</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What do companies view as the biggest challenge to the adoption of generative AI?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Why are GenAI application workflows and pipelines so complex?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Explanation of how Retrieval-Augmented Generation (RAG) works and its benefits over traditional generation models</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The challenges of evaluating these workflows</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Different ways to evaluate LLM pipelines </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Reference-free, reverence-based, and using synthetic data based evaluation for LLMs and RAG</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Measuring precision, recall, faithfulness, relevance, and correctness in RAG systems</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The key metrics used to evaluate RAG pipelines</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Semantics metrics and LLM-based metrics</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">GPT auto-evaluators versus the advantages of simulated user feedback evaluators</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The role human evaluation plays in assessing the quality of generated text</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The continuous-eval open-source project and various metrics container therein</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Leveraging synthetic data to improve LLM finetuning</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What’s next for Relari?</span></li></ul><p><span style="color: #ffffff;"><b>Show Notes:</b></span></p><p><span style="font-weight: 400; color: #ffffff;">Learn more about Pasquale:</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.linkedin.com/in/pasquale-antonante/"><span style="font-weight: 400;">https://www.linkedin.com/in/pasquale-antonante/</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.mit.edu/~antonap/"><span style="font-weight: 400;">https://www.mit.edu/~antonap/</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://scholar.google.com/citations?user=7Vvpd-YAAAAJ&hl=it"><span style="font-weight: 400;">https://scholar.google.com/citations?user=7Vvpd-YAAAAJ&hl=it</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Learn more about Relari</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.relari.ai/"><span style="font-weight: 400;">https://www.relari.ai/</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://github.com/relari-ai/continuous-eval"><span style="font-weight: 400;">https://github.com/relari-ai/continuous-eval</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://arxiv.org/abs/2305.01870"><span style="font-weight: 400;">https://arxiv.org/abs/2305.01870</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">BM25 </span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://en.wikipedia.org/wiki/Okapi_BM25"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Okapi_BM25</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Precision, Recall, F1 score</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html"><span style="font-weight: 400;">https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Monitoring Text-Based Generative AI Models Using Metrics Like BLEU, ROUGE, and METEOR score</span><span style="font-weight: 400;"><br /></span><a style="color: #ffffff;" href="https://arize.com/blog-course/generative-ai-metrics-bleu-score/"><span style="font-weight: 400;">https://arize.com/blog-course/generative-ai-metrics-bleu-score/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">A Practical Guide to RAG Pipeline Evaluation (Part 1: Retrieval)</span><span style="font-weight: 400;"><br /></span><a style="color: #ffffff;" href="https://blog.relari.ai/a-practical-guide-to-rag-pipeline-evaluation-part-1-27a472b09893"><span style="font-weight: 400;">https://blog.relari.ai/a-practical-guide-to-rag-pipeline-evaluation-part-1-27a472b09893</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">A Practical Guide to RAG Pipeline Evaluation (Part 2: Generation</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://blog.relari.ai/a-practical-guide-to-rag-evaluation-part-2-generation-c79b1bde0f5d"><span style="font-weight: 400;">https://blog.relari.ai/a-practical-guide-to-rag-evaluation-part-2-generation-c79b1bde0f5d</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">How important is a Golden Dataset for LLM evaluation?</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://blog.relari.ai/how-important-is-a-golden-dataset-for-llm-pipeline-evaluation-4ef6deb14dc5"><span style="font-weight: 400;">https://blog.relari.ai/how-important-is-a-golden-dataset-for-llm-pipeline-evaluation-4ef6deb14dc5</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Case Study: Reference-free vs Reference-based evaluation of RAG pipeline</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://blog.relari.ai/case-study-reference-free-vs-reference-based-evaluation-of-rag-pipeline-9a49ef49866c"><span style="font-weight: 400;">https://blog.relari.ai/case-study-reference-free-vs-reference-based-evaluation-of-rag-pipeline-9a49ef49866c</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;"> </span></span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;"> </span></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;"><span style="font-weight: 400;"> </span></span></p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rkegAtqcLA.tatsu-column{width: 37.89%;}.tatsu-rkegAtqcLA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rkegAtqcLA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rkegAtqcLA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rkegAtqcLA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rkegAtqcLA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rkegAtqcLA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 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9999;}.tatsu-S1NgCFqcI0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1NgCFqcI0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1NgCFqcI0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1NgCFqcI0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1NgCFqcI0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1NgCFqcI0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJ4zkFg8A" ><style>.tatsu-rJ4zkFg8A.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BJl4G1Yx8A" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BJZEGkYe8C "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BJZEGkYe8C.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-BJZEGkYe8C .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 52: </span><strong>Strategies for Implementing AI Governance and AI Risk Management with Beatrice Botti</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Join us for a discussion on the key pillars of strong AI governance and how responsible AI practices can differentiate products and brands, demystify legal frameworks, and explain why data and AI governance are crucial for organizational success.</span></p></div></div><div class = " tatsu-ht4zbgmw1cxyxpx accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ht4zbgmw3g1d4k1h" style="padding: 12px;">SHOW NOTES<style>.tatsu-ht4zbgmw3g1d4k1h.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Join us for a discussion on the key pillars of strong AI governance and how responsible AI practices can differentiate products and brands, demystify legal frameworks, and explain why data and AI governance are crucial for organizational success.</span></p><p><span style="font-weight: 400; color: #ffffff;">SHOW NOTES</span></p><p> </p><p><span style="font-weight: 400; color: #ffffff;">Learn more about Beatrice Botti: </span></p><p><a href="http://www.linkedin.com/in/beatricebotti/"><span style="font-weight: 400;">www.linkedin.com/in/beatricebotti/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Relevant and useful links:</span></p><p><span style="font-weight: 400; color: #ffffff;">Scarlett Johansson wants answers about the ChatGPT voice that sounds like ‘Her’: </span><a href="https://www.npr.org/2024/05/20/1252495087/openai-pulls-ai-voice-that-was-compared-to-scarlett-johansson-in-the-movie-her"><span style="font-weight: 400;">https://www.npr.org/2024/05/20/1252495087/openai-pulls-ai-voice-that-was-compared-to-scarlett-johansson-in-the-movie-her</span></a></p><p><span style="font-weight: 400; color: #ffffff;">More about the movie “Her”: </span><a href="https://www.imdb.com/title/tt1798709/"><span style="font-weight: 400;">https://www.imdb.com/title/tt1798709/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">More about 2001 “A Space Odyssey”: </span><a href="https://www.imdb.com/title/tt0062622/"><span style="font-weight: 400;">https://www.imdb.com/title/tt0062622/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">More about “Mission: Impossible – Dead Reckoning Part One”: </span><a href="https://www.imdb.com/title/tt9603212/"><span style="font-weight: 400;">https://www.imdb.com/title/tt9603212/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">More about US Patents: </span><a href="https://www.uspto.gov/"><span style="font-weight: 400;">https://www.uspto.gov/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">SHOW NOTES QUESTIONS</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Introduction to our guest and her background</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Your primary responsibilities regarding AI governance and risk management</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">AI governance and the risk of third party vendor AI solutions</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The unique AI governance challenges across sectors like healthcare, wellbeing, and advertising</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Applying AI and risk governance accountability across the organization</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How we can equip participants with practical tools for navigating challenges like bias, data privacy, copyright, and risk management</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How watching AI movies with your co-workers can get them involved and interested in AI</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What are the key pillars of a strong AI governance framework?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How can organizations establish clear lines of accountability for AI development and deployment?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How can responsible AI practices differentiate not just products, but also an organization’s brand identity?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How companies and startups can understand the new legal frameworks impacting AI such as the EU AI Act and similar AI laws</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Voice and image cloning and legal issues of privacy and copyright pertaining to multimodal models</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How patent laws apply to AI and non-human inventors</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What are the “true harms and risks” of AI systems</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How can understanding data and AI governance empower data scientists?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How building trustworthy AI systems differentiate products and brands in the marketplace</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Why is turning data and AI governance into a “secret weapon” such a powerful approach?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Does AI-generated content infringe on the copyrights of the material it was trained on?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Who within an organization should take the lead on implementing AI governance and risk management practices?</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How does your legal background influence your approach to AI governance and risk management?</span></li></ul><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b></span> <a href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b></span><a href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-BJl4G1Yx8A.tatsu-column{width: 37.89%;}.tatsu-BJl4G1Yx8A.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-BJl4G1Yx8A > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJl4G1Yx8A > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJl4G1Yx8A > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJl4G1Yx8A > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJl4G1Yx8A.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJl4G1Yx8A.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJl4G1Yx8A.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJGEfyYe8R" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Sy74z1KgLR " ><div id="audioigniter-112787" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=112787" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-HJGEfyYe8R.tatsu-column{width: 49%;}.tatsu-HJGEfyYe8R.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-HJGEfyYe8R > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJGEfyYe8R > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJGEfyYe8R > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJGEfyYe8R > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJGEfyYe8R.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJGEfyYe8R.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJGEfyYe8R.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HJNEf1txUR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJB4f1KlLR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJB4f1KlLR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-HJUEG1YgL0 " ><style>.tatsu-HJUEG1YgL0.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJDEzkFgIC "><style>.tatsu-HJDEzkFgIC .tatsu-icon{color: #00bcdd ;}.tatsu-HJDEzkFgIC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Strategies-for-Implementing-AI-Governance-and-AI-Risk-Management-with-Beatrice-Botti-e2kp7rj" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-H1O4fJKeU0 "><style>.tatsu-H1O4fJKeU0 .tatsu-icon{color: #00bcdd ;}.tatsu-H1O4fJKeU0{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/strategies-for-implementing-ai-governance-and-ai-risk-management-with-beatrice-botti?si=9b5fd51b3a9c4ebeb0c6171889020148&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJKVG1Ye8A "><style>.tatsu-BJKVG1Ye8A .tatsu-icon{color: #00bcdd ;}.tatsu-BJKVG1Ye8A{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/strategies-for-implementing-ai-governance-and-ai-risk/id1721516836?i=1000658685188" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJ94z1YlU0 "><style>.tatsu-BJ94z1YlU0 .tatsu-icon{color: #00bcdd ;}.tatsu-BJ94z1YlU0{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id710041309?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_710041309&utm_content=Strategies%20for%20Implementing%20AI%20Governance%20and%20AI%20Risk%20Management%20with%20Beatrice%20Botti-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HJNEf1txUR.tatsu-column{width: 13.1%;}.tatsu-HJNEf1txUR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HJNEf1txUR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJNEf1txUR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJNEf1txUR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJNEf1txUR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJNEf1txUR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJNEf1txUR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJNEf1txUR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HJXZzwuH0" ><style>.tatsu-HJXZzwuH0.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SJlmZfwuSA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SJbQ-zDuBR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SJbQ-zDuBR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-SJbQ-zDuBR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 51: </span><strong>AI and Data Science in Financial Markets with Iro Tasitsiomi</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, Argyro (Iro) Tasitsiomi joins us to discuss </span><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">advancements in financial modeling, the opportunities and risks of integrating AI into financial analysis, and the impact of fake data on market stability. Additionally, we’ll cover the importance of quality data, the enduring value of human expertise, and emerging skills in the era of AI.</span></p></div></div><div class = " tatsu-ht4zds8hdx251ord accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-ht4zds8hg71amkhb" style="padding: 12px;">SHOW NOTES<style>.tatsu-ht4zds8hg71amkhb.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Later, as a Data Scientist in Investment Banking, she led initiatives in business intelligence, market intelligence, and machine learning infrastructure development. Her work has spanned various domains, including asset portfolio optimization, enterprise risk management, and mergers and acquisitions.</span></p><p><span style="font-weight: 400; color: #ffffff;">She joins us on the podcast to discuss her professional journey at leading financial institutions such as Goldman Sachs, BlackRock, Prudential, and T. Rowe Price, and explore how AI is transforming various aspects of financial markets. We’ll discuss advancements in financial modeling, the opportunities and risks of integrating AI into financial analysis, and the impact of fake data on market stability. Additionally, we’ll cover the importance of quality data, the enduring value of human expertise, and emerging skills in the era of AI.</span></p><p><span style="color: #ffffff;"><b>Topics:</b><b><br /></b><b>Career Journey</b><span style="font-weight: 400;">: Iro’s professional journey working at top financial institutions such as Goldman Sachs, BlackRock, Prudential, and T. Rowe Price</span></span></p><p><span style="color: #ffffff;"><b>Earlier Modeling Techniques</b><span style="font-weight: 400;">: time series, trading strategies and risk modeling</span></span></p><p><span style="color: #ffffff;"><b>AI Applications in Financial Markets</b><span style="font-weight: 400;">: How is AI being applied across different areas of the financial markets today?</span></span></p><p><span style="color: #ffffff;"><b>Fundamental Analysts in the Age of AI:</b><span style="font-weight: 400;"> How can fundamental analysts leverage their skills alongside AI tools to create a more comprehensive approach to financial analysis?</span></span></p><p><span style="color: #ffffff;"><b>Advancements in Financial Modeling</b><span style="font-weight: 400;">: With the rise of AI, have modeling techniques advanced beyond traditional methods like Monte Carlo simulations and the Black-Scholes models?</span></span></p><p><span style="color: #ffffff;"><b>Opportunities and Risks of AI</b><span style="font-weight: 400;">: What are the opportunities and risks of integrating AI into fundamental financial analysis?</span></span></p><p><span style="color: #ffffff;"><b>Impact of Fake Data and Fake News</b><span style="font-weight: 400;">: Exploring the influence of fake data and fake news on social media and its impact on financial markets.</span></span></p><p><span style="color: #ffffff;"><b>Importance of Quality Data</b><span style="font-weight: 400;">: The significance of quality data for AI in financial markets and how the evolving data landscape is shaping robust quantitative models.</span></span></p><p><span style="color: #ffffff;"><b>Crowding</b><span style="font-weight: 400;">: In traditional finance, popular trading strategies often become less effective as more market participants adopt them (crowding). Looking ahead, with the rise of AI and everyone potentially having access to similar LLM tools, do we foresee a similar phenomenon of “crowding” occurring?</span></span></p><p><span style="color: #ffffff;"><b>Synthetic Data Usage</b><span style="font-weight: 400;">: Discussing the use of synthetic data in financial market modeling and analysis.</span></span></p><p><span style="color: #ffffff;"><b>Economic forecasting: </b><span style="font-weight: 400;">The potential benefits and challenges associated with using AI for this purpose</span></span></p><p><span style="color: #ffffff;"><b>Astrophysics:</b><span style="font-weight: 400;"> Iro’s research focused on large-scale structure formation in the universe using cosmological simulations.</span></span></p><p><span style="color: #ffffff;"><b>Show Notes:</b></span></p><p><span style="font-weight: 400; color: #ffffff;">Learn more about Iro Tasitsiomi:</span></p><p><a href="https://www.linkedin.com/in/argyrotasitsiomi/"><span style="font-weight: 400;">https://www.linkedin.com/in/argyrotasitsiomi/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Bits and Brainwaves Newsletter: </span><a href="https://www.linkedin.com/newsletters/bits-brainwaves-7151965921455046657/"><span style="font-weight: 400;">https://www.linkedin.com/newsletters/bits-brainwaves-7151965921455046657/</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Argyro (Iro) Tasitsiomi’s Google Scholar Astrophysic Citations: <a href="https://scholar.google.com/citations?user=-dtAtwIAAAAJ&hl=en">https://scholar.google.com/citations?user=-dtAtwIAAAAJ&hl=en</a></span></p><p><span style="font-weight: 400; color: #ffffff;">Chronos: Learning the Language of Time Series:</span></p><p><span style="font-weight: 400;">https://arxiv.org/abs/2403.07815</span></p><p><span style="font-weight: 400; color: #ffffff;">Monte Carlo methods in finance:</span></p><p><a href="https://en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Stochastic process</span></p><p><a href="https://en.wikipedia.org/wiki/Stochastic_process"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Stochastic_process</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Black swan theory</span></p><p><a href="https://en.wikipedia.org/wiki/Black_swan_theory"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Black_swan_theory</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Black-Scholes Model:</span></p><p><span style="font-weight: 400;"><a href="https://www.investopedia.com/terms/b/blackscholes.asp#:~:text=The%20Black%2DScholes%20model%2C%20aka,free%20rate%2C%20and%20the%20volatility">https://www.investopedia.com/terms/b/blackscholes.asp#:~:text=The%20Black%2DScholes%20model%2C%20aka,free%20rate%2C%20and%20the%20volatility</a>.</span></p><p><span style="font-weight: 400; color: #ffffff;">Latent Dirichlet allocation (LDA) for Topic Modeling:</span></p><p><a href="https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Backtesting: Definition, How It Works, and Downsides:</span></p><p><a href="https://www.investopedia.com/terms/b/backtesting.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/b/backtesting.asp</span></a></p><p><span style="font-weight: 400; color: #ffffff;">CUSIP Numbers:</span></p><p><a href="https://www.investopedia.com/terms/c/cusipnumber.asp"><span style="font-weight: 400;">https://www.investopedia.com/terms/c/cusipnumber.asp</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Synthetic data: </span></p><p><a href="https://en.wikipedia.org/wiki/Synthetic_data"><span style="font-weight: 400;">https://en.wikipedia.org/wiki/Synthetic_data</span></a></p><p><span style="font-weight: 400; color: #ffffff;">Model Collapse Demystified: </span></p><p><a href="https://arxiv.org/html/2402.07712v1"><span style="font-weight: 400;">https://arxiv.org/html/2402.07712v1</span></a></p><p><span style="font-weight: 400; color: #ffffff;">On cosmology, investment strategies and ergodicity:</span></p><p><a href="https://www.linkedin.com/pulse/cosmology-investment-strategies-ergodicity-tasitsiomi-phd-aec0f"><span style="font-weight: 400;">https://www.linkedin.com/pulse/cosmology-investment-strategies-ergodicity-tasitsiomi-phd-aec0f</span></a></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b></span> <a href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b></span><a href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SJlmZfwuSA.tatsu-column{width: 37.89%;}.tatsu-SJlmZfwuSA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SJlmZfwuSA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SJlmZfwuSA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SJlmZfwuSA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SJlmZfwuSA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SJlmZfwuSA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SJlmZfwuSA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SJlmZfwuSA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SyGm-zP_rR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Sy7m-Mvur0 " ><div id="audioigniter-112091" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=112091" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-SyGm-zP_rR.tatsu-column{width: 49%;}.tatsu-SyGm-zP_rR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-SyGm-zP_rR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyGm-zP_rR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyGm-zP_rR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyGm-zP_rR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyGm-zP_rR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyGm-zP_rR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyGm-zP_rR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column 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href="https://castbox.fm/episode/id5754266-id707463229?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_707463229&utm_content=AI%20and%20Data%20Science%20in%20Financial%20Markets%20with%20Iro%20Tasitsiomi-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ByN7WfP_BR.tatsu-column{width: 13.1%;}.tatsu-ByN7WfP_BR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ByN7WfP_BR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ByN7WfP_BR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ByN7WfP_BR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ByN7WfP_BR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ByN7WfP_BR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ByN7WfP_BR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ByN7WfP_BR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SJU0Cw2NC" ><style>.tatsu-SJU0Cw2NC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-r1gUAAwh40" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkWL0Rw2NR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkWL0Rw2NR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-HkWL0Rw2NR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 50: </span><strong>How AI will Impact the News with Noah Giansiracusa</strong></p><p><span data-slate-fragment="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">In this episode, Professor Noah Giansiracusa will discuss the benefits and drawbacks of AI as it relates to the creation and dissemination of news. He’ll explore the economic pressures on newsrooms and how AI might provide cost-effective solutions, while also examining the challenges of ensuring factual accuracy in an AI-powered news landscape.</span></p></div></div><div class = " tatsu-huhhblv3n5ctd7yk accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-huhhblv3q4e0bmia" style="padding: 12px;">SHOW NOTES<style>.tatsu-huhhblv3q4e0bmia.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Professor Noah’s research interests range from algebraic geometry to machine learning to empirical legal studies. He is the author of How Algorithms Create and Prevent Fake News (2021) and has written op-eds for Barron’s, Boston Globe, Wired, Slate, and Fast Company.</span></p><p><span style="font-weight: 400; color: #ffffff;">During this interview, Professor Noah Giansiracusa will discuss the benefits and drawbacks of AI as it relates to the creation and dissemination of news. He’ll explore the economic pressures on newsrooms and how AI might provide cost-effective solutions, while also examining the challenges of ensuring factual accuracy in an AI-powered news landscape.</span></p><p><span style="color: #ffffff;"><b>Topics:</b></span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Overview of guest’s background</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How AI will impact the news</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The new skills journalists will need to develop and how newsrooms can adapt their workforce strategies</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">AI’s potential (or lack thereof) to provide cost-effective solutions for these smaller, local news organizations struggling to compete and stay relevant </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Ways local and small news organizations can make use of AI</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Automation and real-time AI-driven journalism</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Using AI to fact-check the news </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The long-term impacts of AI on how people consume and understand the news and avoiding filter bubbles and echo chambers</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How AI can help improve the fairness, accuracy, and trustworthiness of news, and the challenges involved</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Public awareness and perception of AI in the news</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The role AI might play in the creation and dissemination of misinformation</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Upcoming USA and Europe elections: misinformation generation and misinformation detection</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Watermarking, audio fakes, and deepfake detection</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Wrapup and how to follow our guest</span></li></ul><p><span style="color: #ffffff;"><span style="font-weight: 400;">Show Notes:</span><span style="font-weight: 400;"><br /></span></span><span style="font-weight: 400; color: #ffffff;">Learn more about Noah Giansiracusa, PhD here:</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.noahgian.com/"><span style="font-weight: 400;">https://www.noahgian.com/</span></a></span></p><p> </p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Get his book here: </span><span style="font-weight: 400;"><br /></span><a style="color: #ffffff;" href="https://link.springer.com/book/10.1007/978-1-4842-7155-1"><span style="font-weight: 400;">https://link.springer.com/book/10.1007/978-1-4842-7155-1</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about Watermarking AI here: </span><a style="color: #ffffff;" href="https://www.brookings.edu/articles/detecting-ai-fingerprints-a-guide-to-watermarking-and-beyond/"><span style="font-weight: 400;">https://www.brookings.edu/articles/detecting-ai-fingerprints-a-guide-to-watermarking-and-beyond/</span></a></span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Learn more about The Coalition for Content Provenance and Authenticity here:</span><span style="font-weight: 400;"><br /></span><a style="color: #ffffff;" href="https://c2pa.org/"><span style="font-weight: 400;">https://c2pa.org/</span></a></span></p><p> </p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> 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(max-width:1377px) {.tatsu-row > .tatsu-r1fIR0vnE0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1fIR0vnE0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1fIR0vnE0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HkNI00PnNR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkrIRRvhE0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkrIRRvhE0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-ByILRRD34A " ><style>.tatsu-ByILRRD34A.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJP80RP2VA "><style>.tatsu-SJP80RP2VA .tatsu-icon{color: #00bcdd ;}.tatsu-SJP80RP2VA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/How-AI-will-Impact-the-News-with-Noah-Giansiracusa-e2k7itn" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJ_IC0D3EC "><style>.tatsu-SJ_IC0D3EC .tatsu-icon{color: #00bcdd ;}.tatsu-SJ_IC0D3EC{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/how-ai-will-impact-the-news-with-noah-giansiracusa?si=ae8a337bdb6b4d35ad34a96de62fef2f&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ByFL00D2VC "><style>.tatsu-ByFL00D2VC .tatsu-icon{color: #00bcdd ;}.tatsu-ByFL00D2VC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/how-ai-will-impact-the-news-with-noah-giansiracusa/id1721516836?i=1000657078396" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" 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></div></div><style>.tatsu-row > .tatsu-HkNI00PnNR.tatsu-column{width: 13.1%;}.tatsu-HkNI00PnNR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HkNI00PnNR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HkNI00PnNR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HkNI00PnNR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HkNI00PnNR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HkNI00PnNR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HkNI00PnNR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HkNI00PnNR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-r1h6H_4EC" ><style>.tatsu-r1h6H_4EC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rJgh6Hu4V0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SJZh6rdVNA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SJZh6rdVNA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-SJZh6rdVNA .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 49: </span><strong>HPCC – Open-Source Platform High-Performance Computing on Large-Scale Data with Bob Foreman</strong></p><p><span data-slate-fragment="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">In this episode, Lead Software Engineering LexisNexis Risk Solutions, joins us to discuss the High-Performance Computer Cluster (HPCC) project, an open-source, massive parallel-processing computing platform for data processing and analytics. Join him for a deep dive into the HPCC project to discover how it simplifies complex data analysis at scale and why it’s an ideal tool for students, startups, or companies exploring or running POC for large-scale data-intensive computing.</span></p></div></div><div class = " tatsu-huhhd6n8aj11idgj accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-huhhd6n8cs7iesy6" style="padding: 12px;">SHOW NOTES<style>.tatsu-huhhd6n8cs7iesy6.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Bob has spent more than a decade working with HPCC Systems and with the Enterprise Control Language as a course developer and trainer. Not only is he a highly experienced developer, but he is also the designer of the HPCC Systems online training courses and is the senior instructor for all classroom and remote based training.</span></p><p><span style="color: #ffffff;"><span style="font-weight: 400;">Join him for a deep dive into the HPCC project to discover how </span><span style="font-weight: 400;">it</span><span style="font-weight: 400;"> simplifies complex data analysis at scale and why it’s an ideal tool for students, startups, or companies exploring or running POC for large scale data-intensive computing.</span></span></p><p><span style="color: #ffffff;"><b>Topics:</b></span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Guest background and Professional Development</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Overview of LexisNexis as a company </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Guest current role </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What high-speed data engineering involves and why it’s important in big data solutions</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Main components of the HPCC Systems platform</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Where the HPCC Systems platform fits in the data landscape</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The role of Thor, Roxie, and ECL in the platform </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Example of how ECL (Enterprise Control Language) can be used to manipulate and analyze large datasets</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How Roxie enhances the performance of real-time data querying and analysis</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How to get started with HPCC open source massive parallel system. </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Working with small sets of data before getting to large data sets</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The Machine Learning Library native to HPCC</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How the HPCC platform fits into the latest trends of Machine Learning and Generative AI </span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">HPCC related events in 2024</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">ODSC Workshops and how HPCC community initiatives</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How to follow HPCC updates</span></li></ul><p><span style="color: #ffffff;"><b>Show Notes:</b></span></p><p><span style="font-weight: 400; color: #ffffff;">Learn more about Bob Foreman</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.linkedin.com/in/bobforeman/"><span style="font-weight: 400;">https://www.linkedin.com/in/bobforeman/</span></a><span style="font-weight: 400;"> </span></span></p><p><span style="font-weight: 400; color: #ffffff;">Learn more about the HPCC Platform</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://github.com/hpcc-systems/HPCC-Platform"><span style="font-weight: 400;">https://github.com/hpcc-systems/HPCC-Platform</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://hpccsystems.com/about/#Platform"><span style="font-weight: 400;">https://hpccsystems.com/about/#Platform</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://github.com/hpcc-systems/ecl-bundles"><span style="font-weight: 400;">HPCC call ECL bundles</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://hpccsystems.com/download/free-modules/hpcc-systems-machine-learning-library/"><span style="font-weight: 400;">HPCC Systems Machine Learning Library</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Bob’s Educational Resources </span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://hpccsystems.com/training/free-online-learning-with-hpcc-systems/"><span style="font-weight: 400;">Bob’s online course</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">HPCC community initiatives</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.missingkids.org/ourwork/ncmecdata"><span style="font-weight: 400;">https://www.missingkids.org/ourwork/ncmecdata</span></a></span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rJgh6Hu4V0.tatsu-column{width: 37.89%;}.tatsu-rJgh6Hu4V0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rJgh6Hu4V0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rJgh6Hu4V0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJgh6Hu4V0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rJgh6Hu4V0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rJgh6Hu4V0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rJgh6Hu4V0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rJgh6Hu4V0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJznTru4NC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HJ726HO4NR " ><p class="p1"><b><div id="audioigniter-110858" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=110858" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" 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(max-width:1377px) {.tatsu-row > .tatsu-HJznTru4NC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJznTru4NC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJznTru4NC.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HJN36rdNN0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1H2aS_44A "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1H2aS_44A.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-SyL26HdEVC " ><style>.tatsu-SyL26HdEVC.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1D3TSONV0 "><style>.tatsu-r1D3TSONV0 .tatsu-icon{color: #00bcdd ;}.tatsu-r1D3TSONV0{border-width: 0px 0px 0px 0px;}</style><a href="https://spotifyanchor-web.app.link/e/i8QCBqS8KJb" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ryu3TB_440 "><style>.tatsu-ryu3TB_440 .tatsu-icon{color: #00bcdd ;}.tatsu-ryu3TB_440{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/hpcc-open-source-platform-high-performance-computing-on-large-scale-data-with-bob-foreman?si=914a80d227fe48af83dbd390a2830175&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HkK3aH_EEC "><style>.tatsu-HkK3aH_EEC .tatsu-icon{color: #00bcdd ;}.tatsu-HkK3aH_EEC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000656176023" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B15nTrOV4R "><style>.tatsu-B15nTrOV4R .tatsu-icon{color: #00bcdd ;}.tatsu-B15nTrOV4R{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id703299385?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_703299385&utm_content=HPCC%20-%20Open-Source%20Platform%20High-Performance%20Computing%20on%20Large-Scale%20Data%20with%20Bob%20Foreman-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HJN36rdNN0.tatsu-column{width: 13.1%;}.tatsu-HJN36rdNN0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HJN36rdNN0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJN36rdNN0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJN36rdNN0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJN36rdNN0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJN36rdNN0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJN36rdNN0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJN36rdNN0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJev7e5mA" ><style>.tatsu-rJev7e5mA.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SJexvXgqmA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-H1blP7eqXA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-H1blP7eqXA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-H1blP7eqXA .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 48: </span><strong>Training and Deploying Open-Source LLMs with Dr. Jon Krohn</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, we speak with Dr. Jon Krohn about the life cycle of open-source LLMs. Jon is a co-founder and chief data scientist at the machine learning company Nebula. He is the author of the book Deep Learning Illustrated, which was an instant #1 bestseller and was translated into seven languages. He is also the host of the fabulous SuperDataScience podcast, the data science industry’s most listened-to podcast. An incredible instructor and speaker, Jon’s workshops at ODSC conferences and other events are always one of our most popular.</span></p></div></div><div class = " tatsu-huhhedluvp266xde accordion-wrap oshine-module" ><div class = "accordion" data-collapsed="1"><h3 class="accordion-head with-bg tatsu-huhhedluys47mq3j" style="padding: 12px;">SHOW NOTES<style>.tatsu-huhhedluys47mq3j.accordion-head{color: rgba(255,255,255,1) ;background: rgba(0,0,0,1);}</style></h3><div><p><span style="font-weight: 400; color: #ffffff;">Topics:</span></p><ol><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Guest Introduction</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Definition of an open source LLMs and what it means to be truly open source</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The importances of LLM weights and neural networks architecture for training</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Transformer architecture</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Apple expanding their AI team</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">What do I need to train or fine-tune an LLM</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Key libraries for fine-tunning an LLM</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">The LoRA (Low-Rank Adaptation) technique for efficiently fine-tuning large language models</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Testing and evaluating LLMs prior to deploying in production</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Retrieval Augmented Generation (RAG)</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">Deploying LLM to production</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How to keep inference cost down</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400; color: #ffffff;">How can people follow Jon’s content (see show notes also)</span></li></ol><p><span style="color: #ffffff;"><span style="font-weight: 400;">Show Notes:</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">More about Jon:</span></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.linkedin.com/in/jonkrohn/"><span style="font-weight: 400;">LinkedIn</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.youtube.com/c/jonkrohnlearns"><span style="font-weight: 400;">Jon’s Youtube Channel</span></a></span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="https://www.jonkrohn.com/"><span style="font-weight: 400;">Jon’s Monthly Newsletter</span></a></span></p><p><span style="font-weight: 400; color: #ffffff;">Tools and Resources:</span></p><p><span style="color: #ffffff;"><a style="color: #ffffff;" href="http://neuralnetworksanddeeplearning.com/"><span style="font-weight: 400;">Michael Nielsen eBook on Neural Networks and Deep Learning </span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://lightning.ai/docs/pytorch/stable/"><span style="font-weight: 400;">PyTorch Lightning is the deep learning framework</span></a> <span style="font-weight: 400;"><br /></span><a style="color: #ffffff;" href="https://huggingface.co/docs/transformers/v4.17.0/en/index"><span style="font-weight: 400;">Hugging Face Transformers Library</span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://lmsys.org/blog/2023-03-30-vicuna/"><span style="font-weight: 400;">Vicuna: An Open-Source Chatbot</span></a> <span style="font-weight: 400;"><br /></span><a style="color: #ffffff;" href="https://arxiv.org/abs/2106.09685"><span style="font-weight: 400;">LoRA: Low-Rank Adaptation of Large Language Models</span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://www.superdatascience.com/podcast/parameter-efficient-fine-tuning-of-llms-using-lora-low-rank-adaptation"><span style="font-weight: 400;">SDS 674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)</span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://github.com/unslothai/unsloth"><span style="font-weight: 400;">Unsloth for finetuning Llama 3, Mistral & Gemma</span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://github.com/Arize-ai/phoenix"><span style="font-weight: 400;">Phoenix: an open source </span><span style="font-weight: 400;">AI Observability & Evaluation tool</span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://www.odsc.com/podcast/#e33"><span style="font-weight: 400;">ODSC Podcast with Amber Roberts on Phoenix and troubleshooting LLMs</span><span style="font-weight: 400;"><br /></span></a><a style="color: #ffffff;" href="https://wandb.ai/site"><span style="font-weight: 400;">Weights & Biases</span></a></span></p><p><span style="color: #ffffff;"><b><i>This episode was sponsored by: </i></b></span></p><p><span style="color: #ffffff;"><b><i>Ai+ Training</i></b> <a style="color: #ffffff;" href="https://aiplus.training/"><i><span style="font-weight: 400;">https://aiplus.training/</span></i></a><i><span style="font-weight: 400;"> </span></i></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering</span></i></span></p><p><span style="color: #ffffff;"><b><i>And created in partnership with ODSC </i></b><a style="color: #ffffff;" href="https://odsc.com/"><b><i>https://odsc.com/</i></b></a><b><i> </i></b></span></p><p><span style="color: #ffffff;"><i><span style="font-weight: 400;">The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and</span></i></span></p><p><span style="font-weight: 400; color: #ffffff;">Never miss an episode, subscribe now!</span></p></div></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SJexvXgqmA.tatsu-column{width: 37.89%;}.tatsu-SJexvXgqmA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SJexvXgqmA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SJexvXgqmA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SJexvXgqmA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SJexvXgqmA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SJexvXgqmA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SJexvXgqmA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SJexvXgqmA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BJfgPQe9m0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HJmlPXgc70 " ><p class="p1"><b><div id="audioigniter-110557" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=110557" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></b></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BJfgPQe9m0.tatsu-column{width: 49%;}.tatsu-BJfgPQe9m0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BJfgPQe9m0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJfgPQe9m0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJfgPQe9m0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJfgPQe9m0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJfgPQe9m0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJfgPQe9m0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJfgPQe9m0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-B1VxPml57R" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rkrgPQgcmA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rkrgPQgcmA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-B1UxDmx9QR " ><style>.tatsu-B1UxDmx9QR.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rkvgDXlcQC "><style>.tatsu-rkvgDXlcQC .tatsu-icon{color: #00bcdd ;}.tatsu-rkvgDXlcQC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Training-and-Deploying-Open-Source-LLMs-e2jk73a" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1dlvQecm0 "><style>.tatsu-r1dlvQecm0 .tatsu-icon{color: #00bcdd ;}.tatsu-r1dlvQecm0{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/training-and-deploying-open-source-llms-with-dr-jon-krohn?si=01f30451f9224532822df3e7436543d6&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SyKxPmx97A "><style>.tatsu-SyKxPmx97A .tatsu-icon{color: #00bcdd ;}.tatsu-SyKxPmx97A{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000655472381 " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJ5lwQg9XR "><style>.tatsu-SJ5lwQg9XR .tatsu-icon{color: #00bcdd ;}.tatsu-SJ5lwQg9XR{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id702325132?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_702325132&utm_content=Training%20and%20Deploying%20Open-Source%20LLMs%20with%20Dr.%20Jon%20Krohn-CastBox_FM " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-B1VxPml57R.tatsu-column{width: 13.1%;}.tatsu-B1VxPml57R.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-B1VxPml57R > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1VxPml57R > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1VxPml57R > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1VxPml57R > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1VxPml57R.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1VxPml57R.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1VxPml57R.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJh2P2EQR" ><style>.tatsu-rJh2P2EQR.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-H1g2hP247R" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ryZ22P2V7R "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ryZ22P2V7R.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-ryZ22P2V7R .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 47: </span><strong>DBRX and Open Source Mixture of Experts LLMs with Hagay Lupesko</strong></p><p><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Our topic today is the the open-source DBRX large language model, which stands out in the LLM AI landscape due to its innovative use of the Mixture of Experts (MoE) architecture. This architecture allows DBRX to efficiently scale by distributing tasks across 64 combinable experts, allowing the model to select the most suitable set of internal configurations from a pool of experts for each specific task. This results in faster processing and potentially better performance compared to traditional LLM architectures. </span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-H1g2hP247R.tatsu-column{width: 37.89%;}.tatsu-H1g2hP247R.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-H1g2hP247R > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-H1g2hP247R > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-H1g2hP247R > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-H1g2hP247R > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-H1g2hP247R.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-H1g2hP247R.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-H1g2hP247R.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SJMn3PhNXR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-ByXh2w3NmR " ><p class="p1"><b><div id="audioigniter-110397" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=110397" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></b></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-SJMn3PhNXR.tatsu-column{width: 49%;}.tatsu-SJMn3PhNXR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-SJMn3PhNXR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SJMn3PhNXR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SJMn3PhNXR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SJMn3PhNXR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SJMn3PhNXR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SJMn3PhNXR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SJMn3PhNXR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-H1En3whNXC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SyHnhvhEXA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SyHnhvhEXA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-HJI22v3N7R " ><style>.tatsu-HJI22v3N7R.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJDn2wnEXA "><style>.tatsu-BJDn2wnEXA .tatsu-icon{color: #00bcdd ;}.tatsu-BJDn2wnEXA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/DBRX-and-Open-Source-Mixture-of-Experts-LLMs-with-Hagay-Lupesko-e2jb64q" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1On3D2V7C "><style>.tatsu-B1On3D2V7C .tatsu-icon{color: #00bcdd ;}.tatsu-B1On3D2V7C{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/dbrx-and-open-source-mixture-of-experts-llms-with-hagay-lupesko?si=dd9d43cf178f43f79b0f9a832e57ce17&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkF33Dn4QC "><style>.tatsu-BkF33Dn4QC .tatsu-icon{color: #00bcdd ;}.tatsu-BkF33Dn4QC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000654733941" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Syq2hD3Em0 "><style>.tatsu-Syq2hD3Em0 .tatsu-icon{color: #00bcdd ;}.tatsu-Syq2hD3Em0{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id701183662?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_701183662&utm_content=DBRX%20and%20Open%20Source%20Mixture%20of%20Experts%20LLMs%20with%20Hagay%20Lupesko-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-H1En3whNXC.tatsu-column{width: 13.1%;}.tatsu-H1En3whNXC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-H1En3whNXC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-H1En3whNXC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-H1En3whNXC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-H1En3whNXC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-H1En3whNXC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-H1En3whNXC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-H1En3whNXC.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-B1Fhdu1XC" ><style>.tatsu-B1Fhdu1XC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJlKnd_1m0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1WYhuu1m0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1WYhuu1m0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-S1WYhuu1m0 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 46: </span><strong>Embedding Trustworthy Practices Across the AI Lifecycle with Vrushali Sawant</strong></p><p><span role="" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode of ODSC’s Ai X Podcast, we speak with SAS’s Vrushali Sawant about trustworthy AI, including an overview of what it is, what a career path in trustworthy AI looks like, how data scientists can implement trustworthy AI, and what’s already being done to promote ethical AI.</span></span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HJlKnd_1m0.tatsu-column{width: 37.89%;}.tatsu-HJlKnd_1m0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HJlKnd_1m0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJlKnd_1m0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJlKnd_1m0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJlKnd_1m0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJlKnd_1m0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJlKnd_1m0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJlKnd_1m0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BkMY2u_k7A" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-B1Qt3_OyXA " ><p class="p1"><b><div id="audioigniter-110217" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=110217" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></b></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BkMY2u_k7A.tatsu-column{width: 49%;}.tatsu-BkMY2u_k7A.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BkMY2u_k7A > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BkMY2u_k7A > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkMY2u_k7A > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BkMY2u_k7A > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BkMY2u_k7A.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BkMY2u_k7A.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BkMY2u_k7A.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-r14YhduyQ0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1Stn_dk7C "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1Stn_dk7C.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-B18FndOJm0 " ><style>.tatsu-B18FndOJm0.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyPK3_dJXC "><style>.tatsu-HyPK3_dJXC .tatsu-icon{color: #00bcdd ;}.tatsu-HyPK3_dJXC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Embedding-Trustworthy-Practices-Across-the-AI-Lifecycle-with-Vrushali-Sawant-e2j3dtb" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1_YhdOk7A "><style>.tatsu-S1_YhdOk7A .tatsu-icon{color: #00bcdd ;}.tatsu-S1_YhdOk7A{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/NzgBCVZoCdS5fvWa9" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1YthOu1XR "><style>.tatsu-r1YthOu1XR .tatsu-icon{color: #00bcdd ;}.tatsu-r1YthOu1XR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/embedding-trustworthy-practices-across-the-ai/id1721516836?i=1000654099059" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Bk_kpOJmC "><style>.tatsu-Bk_kpOJmC .tatsu-icon{color: #00bcdd ;}.tatsu-Bk_kpOJmC{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id701182817?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_701182817&utm_content=Embedding%20Trustworthy%20Practices%20Across%20the%20AI%20Lifecycle%20with%20Vrushali%20Sawant-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/05/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r14YhduyQ0.tatsu-column{width: 13.1%;}.tatsu-r14YhduyQ0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r14YhduyQ0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r14YhduyQ0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r14YhduyQ0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r14YhduyQ0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r14YhduyQ0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r14YhduyQ0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r14YhduyQ0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HJiFDQcM0" ><style>.tatsu-HJiFDQcM0.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SkxsYvmqfR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-H1WjtPX5M0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-H1WjtPX5M0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-H1WjtPX5M0 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 45: </span><strong><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Data Science Interview Tips & Tricks for 2024 with Leondra Gonzalez</span></strong></p><p><span role="" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this episode, </span></span><span style="font-weight: 400;">we speak with Leondra Gonzalez, Senior Data & Applied Scientist at Microsoft, about the data science interview process in 2024. </span><span style="font-weight: 400;">We’ll discuss the full stack of the data science interview process, including how to stand out with a resume and portfolio, questions you may hear during the interview, and how to properly follow up with the hiring manager after the interview.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SkxsYvmqfR.tatsu-column{width: 37.89%;}.tatsu-SkxsYvmqfR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SkxsYvmqfR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SkxsYvmqfR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SkxsYvmqfR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SkxsYvmqfR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SkxsYvmqfR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SkxsYvmqfR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SkxsYvmqfR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rJzoKDQ5fA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-S1msYPmczA " ><p class="p1"><b><div id="audioigniter-109586" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=109586" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></b></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-rJzoKDQ5fA.tatsu-column{width: 48.8%;}.tatsu-rJzoKDQ5fA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-rJzoKDQ5fA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rJzoKDQ5fA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJzoKDQ5fA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rJzoKDQ5fA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rJzoKDQ5fA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rJzoKDQ5fA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rJzoKDQ5fA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-Hk4itvQ9zR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rkriKvm9zA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rkriKvm9zA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-ByLstv75f0 " ><style>.tatsu-ByLstv75f0.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1PstPmqfR "><style>.tatsu-B1PstPmqfR .tatsu-icon{color: #00bcdd ;}.tatsu-B1PstPmqfR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Data-Science-Interview-Tips--Tricks-for-2024-with-Leondra-Gonzalez-e2ing1p" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ryuitP79MR "><style>.tatsu-ryuitP79MR .tatsu-icon{color: #00bcdd ;}.tatsu-ryuitP79MR{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/kQHjwvr5G6xrHyay6" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SkKoFDm5zR "><style>.tatsu-SkKoFDm5zR .tatsu-icon{color: #00bcdd ;}.tatsu-SkKoFDm5zR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000653199172" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJ5oFDX9zA "><style>.tatsu-HJ5oFDX9zA .tatsu-icon{color: #00bcdd ;}.tatsu-HJ5oFDX9zA{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id694510298?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_694510298&utm_content=Data%20Science%20Interview%20Tips%20%26%20Tricks%20for%202024%20with%20Leondra%20Gonzalez-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Hk4itvQ9zR.tatsu-column{width: 13.3%;}.tatsu-Hk4itvQ9zR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Hk4itvQ9zR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hk4itvQ9zR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hk4itvQ9zR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hk4itvQ9zR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hk4itvQ9zR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hk4itvQ9zR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hk4itvQ9zR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rko25zNWC" ><style>.tatsu-rko25zNWC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-r1xj25zNbR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkZjh9z4ZR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkZjh9z4ZR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-HkZjh9z4ZR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 44: </span><strong><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">The Shifting LLM Landscape: Beyond GPT-4 and One-Size-Fit-All to Open Source and Task Specific LLMs with John Dickerson</span></strong></p><p><span role="" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"><span data-sheets-root="1" data-sheets-value="{"1":2,"2":"In this episode, John Dickerson, co-founder and Chief Scientist of Arthur AI, joins us for a conversation about the shifting large language model landscape. He'll discuss emerging alternatives to established giants like OpenAI and Anthropic, and how these new players are impacting the market. "}" data-sheets-userformat="{"2":8963,"3":{"1":0},"4":{"1":2,"2":14281427},"11":3,"12":0,"16":10}">In this episode, John Dickerson, co-founder and Chief Scientist of Arthur AI, joins us for a conversation about the shifting large language model landscape. He’ll discuss emerging alternatives to established giants like OpenAI and Anthropic, and how these new players are impacting the market. </span></span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1xj25zNbR.tatsu-column{width: 37.89%;}.tatsu-r1xj25zNbR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1xj25zNbR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1xj25zNbR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1xj25zNbR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1xj25zNbR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1xj25zNbR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1xj25zNbR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1xj25zNbR.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-r1Mjn9fVWA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-H1XsnqG4bR " ><p class="p1"><div id="audioigniter-109372" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=109372" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-r1Mjn9fVWA.tatsu-column{width: 48.8%;}.tatsu-r1Mjn9fVWA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-r1Mjn9fVWA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1Mjn9fVWA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1Mjn9fVWA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1Mjn9fVWA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1Mjn9fVWA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1Mjn9fVWA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1Mjn9fVWA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HkNih9GVWR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SJSj39fE-R "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SJSj39fE-R.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-BJIi3qfVWR " ><style>.tatsu-BJIi3qfVWR.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Byvs25f4b0 "><style>.tatsu-Byvs25f4b0 .tatsu-icon{color: #00bcdd ;}.tatsu-Byvs25f4b0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/The-Shifting-LLM-Landscape-Beyond-GPT-4-and-One-Size-Fit-All-to-Open-Source-and-Task-Specific-LLMs-with-John-Dickerson-e2ie96m?utm_campaign=Podcast&utm_source=Podcast%20with%20John%20Dickerson%2C%20PhD%20at%20Spotify&utm_medium=Podcast&utm_term=Podcast%20with%20John%20Dickerson%2C%20PhD%20at%20Spotify&utm_content=Podcast%20with%20John%20Dickerson%2C%20PhD" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Bk_on9M4ZC "><style>.tatsu-Bk_on9M4ZC .tatsu-icon{color: #00bcdd ;}.tatsu-Bk_on9M4ZC{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/cHQQbyW84CRgFBeh9?utm_campaign=Podcast&utm_source=Podcast%20with%20John%20Dickerson%2C%20PhD%20SoundCloud&utm_medium=Podcast%20with%20John%20Dickerson%2C%20PhD%20SoundCloud&utm_term=Podcast%20with%20John%20Dickerson%2C%20PhD&utm_content=Podcast%20with%20John%20Dickerson%2C%20PhD%20SoundCloud" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyFi39MN-R "><style>.tatsu-HyFi39MN-R .tatsu-icon{color: #00bcdd ;}.tatsu-HyFi39MN-R{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/odscs-ai-x-podcast/id1721516836?i=1000652482717&utm_campaign=Podcast&utm_source=Podcast&utm_medium=Podcast%20with%20John%20Dickerson%2C%20PhD%20Apple&utm_term=Podcast%20with%20John%20Dickerson%2C%20PhD%20Apple&utm_content=Podcast%20with%20John%20Dickerson%2C%20PhD%20Apple" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Hy9ih9M4-C "><style>.tatsu-Hy9ih9M4-C .tatsu-icon{color: #00bcdd ;}.tatsu-Hy9ih9M4-C{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id692711393?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_692711393&utm_content=The%20Shifting%20LLM%20Landscape%3A%20Beyond%20GPT-4%20and%20One-Size-Fit-All%20to%20Open%20Source%20and%20Task%20Specific%20LLMs%20with%20John%20Dickerson-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HkNih9GVWR.tatsu-column{width: 13.3%;}.tatsu-HkNih9GVWR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HkNih9GVWR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HkNih9GVWR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HkNih9GVWR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HkNih9GVWR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HkNih9GVWR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HkNih9GVWR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HkNih9GVWR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-B1IIpl3lA" ><style>.tatsu-B1IIpl3lA.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-S1g8Lpx3l0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SkbIUaenlR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SkbIUaenlR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-SkbIUaenlR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 43: </span><strong><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Deep Learning for Financial Trading with Sofien Kaabar</span></strong></p><p><span data-sheets-root="1" data-sheets-value="{"1":2,"2":"In this episode, Sofien Kaabar will discuss the role of deep learning and machine learning for finance, through the lens of his recent book Deep Learning for Finance. You’ll explore a whole range of topics including machine learning for finance, featuring engineering, time series prediction strategies, challenges such as backtesting, overfitting, and non-stationary data, and much more!"}" data-sheets-userformat="{"2":8963,"3":{"1":0},"4":{"1":2,"2":14281427},"11":3,"12":0,"16":10}">In this episode, Sofien Kaabar will discuss the role of deep learning and machine learning for finance, through the lens of his recent book Deep Learning for Finance. You’ll explore a whole range of topics including machine learning for finance, featuring engineering, time series prediction strategies, challenges such as backtesting, overfitting, and non-stationary data, and much more!</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1g8Lpx3l0.tatsu-column{width: 37.89%;}.tatsu-S1g8Lpx3l0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1g8Lpx3l0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1g8Lpx3l0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1g8Lpx3l0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1g8Lpx3l0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1g8Lpx3l0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1g8Lpx3l0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1g8Lpx3l0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ryf88ax3lA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HyXUI6xnx0 " ><p class="p1"><div id="audioigniter-108807" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=108807" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-ryf88ax3lA.tatsu-column{width: 48.8%;}.tatsu-ryf88ax3lA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-ryf88ax3lA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ryf88ax3lA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ryf88ax3lA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ryf88ax3lA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ryf88ax3lA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ryf88ax3lA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ryf88ax3lA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HkEUL6lhgR" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1BULTe2x0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1BULTe2x0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-H18IIaxneA " ><style>.tatsu-H18IIaxneA.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyDL86gheR "><style>.tatsu-HyDL86gheR .tatsu-icon{color: #00bcdd ;}.tatsu-HyDL86gheR{border-width: 0px 0px 0px 0px;}</style><a href="https://hubs.li/Q02sdQ0t0" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1OU86xnlC "><style>.tatsu-B1OU86xnlC .tatsu-icon{color: #00bcdd ;}.tatsu-B1OU86xnlC{border-width: 0px 0px 0px 0px;}</style><a href="https://hubs.li/Q02sdSD00" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJK8L6g2gA "><style>.tatsu-BJK8L6g2gA .tatsu-icon{color: #00bcdd ;}.tatsu-BJK8L6g2gA{border-width: 0px 0px 0px 0px;}</style><a href="https://hubs.li/Q02sdS060" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rk5LLaghg0 "><style>.tatsu-rk5LLaghg0 .tatsu-icon{color: #00bcdd ;}.tatsu-rk5LLaghg0{border-width: 0px 0px 0px 0px;}</style><a href="https://hubs.li/Q02sdSWf0" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HkEUL6lhgR.tatsu-column{width: 13.3%;}.tatsu-HkEUL6lhgR.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HkEUL6lhgR > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HkEUL6lhgR > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HkEUL6lhgR > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HkEUL6lhgR > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HkEUL6lhgR.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HkEUL6lhgR.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HkEUL6lhgR.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-ByRJAjfeC" ><style>.tatsu-ByRJAjfeC.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HygAJCifgC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ByZCyAofl0 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ByZCyAofl0.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-ByZCyAofl0 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 42: </span><strong><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Deciphering Data Architectures with James Serra</span></strong></p><p><span style="font-weight: 400;">In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures. </span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HygAJCifgC.tatsu-column{width: 37.89%;}.tatsu-HygAJCifgC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HygAJCifgC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HygAJCifgC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HygAJCifgC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HygAJCifgC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HygAJCifgC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HygAJCifgC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HygAJCifgC.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BJM0kAiMeC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-SkQ0kCifxR " ><p class="p1"><div id="audioigniter-108261" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=108261" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div></p></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BJM0kAiMeC.tatsu-column{width: 48.8%;}.tatsu-BJM0kAiMeC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BJM0kAiMeC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJM0kAiMeC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJM0kAiMeC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJM0kAiMeC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJM0kAiMeC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJM0kAiMeC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJM0kAiMeC.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-SJV0JCozlC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BkBAyRsMgR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BkBAyRsMgR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rk8RkCsGeC " ><style>.tatsu-rk8RkCsGeC.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SkvRJRoMgA "><style>.tatsu-SkvRJRoMgA .tatsu-icon{color: #00bcdd ;}.tatsu-SkvRJRoMgA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Deciphering-Data-Architectures-with-James-Serra-e2hr4hp " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyuCkRiGgC "><style>.tatsu-HyuCkRiGgC .tatsu-icon{color: #00bcdd ;}.tatsu-HyuCkRiGgC{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/vG2YFic3iKhFzz7Q7 " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HkKAyRszg0 "><style>.tatsu-HkKAyRszg0 .tatsu-icon{color: #00bcdd ;}.tatsu-HkKAyRszg0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/deciphering-data-architectures-with-james-serra/id1721516836?i=1000651091625 " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S190k0oMl0 "><style>.tatsu-S190k0oMl0 .tatsu-icon{color: #00bcdd ;}.tatsu-S190k0oMl0{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id687953943?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_687953943&utm_content=Deciphering%20Data%20Architectures%20with%20James%20Serra-CastBox_FM " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SJV0JCozlC.tatsu-column{width: 13.3%;}.tatsu-SJV0JCozlC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SJV0JCozlC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SJV0JCozlC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SJV0JCozlC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SJV0JCozlC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SJV0JCozlC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SJV0JCozlC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SJV0JCozlC.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-BJYtU_KJ0" ><style>.tatsu-BJYtU_KJ0.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HkgFtUuFJC" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkZYK8OKyR "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkZYK8OKyR.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-HkZYK8OKyR .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 41: </span><strong><span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Deep Reinforcement Learning in the Real World with Anna Goldie</span></strong></p><p>In this episode, you’ll explore the field of deep reinforcement learning and the ways it influences the real world with Anna Goldie, Senior Staff Research Scientist at Google DeepMind. During this wide-ranging discussion, you’ll learn about her contributions to the field of reinforcement learning, and how we can leverage reinforcement learning effectively for real world applications going forward. </p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HkgFtUuFJC.tatsu-column{width: 37.89%;}.tatsu-HkgFtUuFJC.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HkgFtUuFJC > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HkgFtUuFJC > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HkgFtUuFJC > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HkgFtUuFJC > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HkgFtUuFJC.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HkgFtUuFJC.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HkgFtUuFJC.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rJfFFL_Fk0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-B1mtFIdtyR " ><div id="audioigniter-107939" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=107939" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-rJfFFL_Fk0.tatsu-column{width: 48.8%;}.tatsu-rJfFFL_Fk0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-rJfFFL_Fk0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rJfFFL_Fk0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJfFFL_Fk0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rJfFFL_Fk0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rJfFFL_Fk0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rJfFFL_Fk0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rJfFFL_Fk0.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-SyNKFUOt1A" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HJHFFIOtJC "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HJHFFIOtJC.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-SyLFK8_F10 " ><style>.tatsu-SyLFK8_F10.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkPYFLuKkR "><style>.tatsu-BkPYFLuKkR .tatsu-icon{color: #00bcdd ;}.tatsu-BkPYFLuKkR{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Deep-Reinforcement-Learning-in-the-Real-World-with-Anna-Goldie-e2hjbj4" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SydKKL_Y1A "><style>.tatsu-SydKKL_Y1A .tatsu-icon{color: #00bcdd ;}.tatsu-SydKKL_Y1A{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/V8mYx1nWeX1F7hcj7 " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ryYFFUuKJ0 "><style>.tatsu-ryYFFUuKJ0 .tatsu-icon{color: #00bcdd ;}.tatsu-ryYFFUuKJ0{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/deep-reinforcement-learning-in-the-real-world-with/id1721516836?i=1000650492206 " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rJcYYIuFk0 "><style>.tatsu-rJcYYIuFk0 .tatsu-icon{color: #00bcdd ;}.tatsu-rJcYYIuFk0{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id686001646?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_686001646&utm_content=Deep%20Reinforcement%20Learning%20in%20the%20Real%20World%20with%20Anna%20Goldie-CastBox_FM " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SyNKFUOt1A.tatsu-column{width: 13.3%;}.tatsu-SyNKFUOt1A.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SyNKFUOt1A > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyNKFUOt1A > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyNKFUOt1A > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyNKFUOt1A > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyNKFUOt1A.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyNKFUOt1A.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyNKFUOt1A.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SJT6aYZ10" ><style>.tatsu-SJT6aYZ10.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-r1eTa6tbkA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Sk-TppK-yA "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Sk-TppK-yA.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-Sk-TppK-yA .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 40: </span><strong>Open Table Formats Reshaping the Data Industry: A Deep Dive with Ryan Blue</strong></p><p>Explore how open table formats are in the process of transforming the data industry. Take a deep dive into the unprecedented change presented by enabling data warehouses to share storage and the way it will help shape the future with Ryan Blue, Co-creator of Apache Iceberg.</p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1eTa6tbkA.tatsu-column{width: 37.89%;}.tatsu-r1eTa6tbkA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1eTa6tbkA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1eTa6tbkA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1eTa6tbkA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1eTa6tbkA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1eTa6tbkA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1eTa6tbkA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1eTa6tbkA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SkGTaptWkA" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Sk76Tat-J0 " ><div id="audioigniter-107538" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=107538" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-SkGTaptWkA.tatsu-column{width: 48.8%;}.tatsu-SkGTaptWkA.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-SkGTaptWkA > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SkGTaptWkA > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SkGTaptWkA > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SkGTaptWkA > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SkGTaptWkA.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SkGTaptWkA.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SkGTaptWkA.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-SyV6apFWJ0" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkBapTKWyC "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkBapTKWyC.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-SJ8aaatWkA " ><style>.tatsu-SJ8aaatWkA.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1wpppFWyA "><style>.tatsu-S1wpppFWyA .tatsu-icon{color: #00bcdd ;}.tatsu-S1wpppFWyA{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Open-Table-Formats-Reshaping-the-Data-Industry-A-Deep-Dive-with-Ryan-Blue-e2h87i0" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Byu6paF-kR "><style>.tatsu-Byu6paF-kR .tatsu-icon{color: #00bcdd ;}.tatsu-Byu6paF-kR{border-width: 0px 0px 0px 0px;}</style><a href="https://on.soundcloud.com/DQ89nXaHQQFMMULb8" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1YaTTFZyC "><style>.tatsu-S1YaTTFZyC .tatsu-icon{color: #00bcdd ;}.tatsu-S1YaTTFZyC{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/open-table-formats-reshaping-the-data-industry-a/id1721516836?i=1000649609245" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1caapK-yR "><style>.tatsu-r1caapK-yR .tatsu-icon{color: #00bcdd ;}.tatsu-r1caapK-yR{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id683449129?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_683449129&utm_content=Open%20Table%20Formats%20Reshaping%20the%20Data%20Industry%3A%20A%20Deep%20Dive%20with%20%20Ryan%20Blue-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SyV6apFWJ0.tatsu-column{width: 13.3%;}.tatsu-SyV6apFWJ0.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SyV6apFWJ0 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyV6apFWJ0 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyV6apFWJ0 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyV6apFWJ0 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyV6apFWJ0.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyV6apFWJ0.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyV6apFWJ0.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SkLRmwd0a" ><style>.tatsu-SkLRmwd0a.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-rJeIAmPuAT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HybUAXPuAp "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HybUAXPuAp.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-HybUAXPuAp .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 39: </span><strong>Navigating the Ethical Landscape of Generative AI with Michelle Yi</strong></p><p>In this interview on navigating the ethical concerns of generative AI, Michelle Yi, technology leader and board member at Women in Data, will explore the causes, effects, and possible solutions for several of the concerns. In particular, she will focus on the impact of lack of explainability, legal and regulatory challenges, and how we move forward with this new technology responsibly.</p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rJeIAmPuAT.tatsu-column{width: 37.89%;}.tatsu-rJeIAmPuAT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rJeIAmPuAT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rJeIAmPuAT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJeIAmPuAT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rJeIAmPuAT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rJeIAmPuAT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rJeIAmPuAT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rJeIAmPuAT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJzUCXw_0a" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HJ7LCQvdAp " ><div id="audioigniter-107090" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=107090" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-HJzUCXw_0a.tatsu-column{width: 48.8%;}.tatsu-HJzUCXw_0a.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-HJzUCXw_0a > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJzUCXw_0a > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJzUCXw_0a > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJzUCXw_0a > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJzUCXw_0a.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJzUCXw_0a.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJzUCXw_0a.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-r14LRQw_C6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-r1B8RQDdC6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-r1B8RQDdC6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rkUUAQvdRa " ><style>.tatsu-rkUUAQvdRa.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkDLCmD_Cp "><style>.tatsu-BkDLCmD_Cp .tatsu-icon{color: #00bcdd ;}.tatsu-BkDLCmD_Cp{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3TzNtFH " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJdUAXPO0a "><style>.tatsu-HJdUAXPO0a .tatsu-icon{color: #00bcdd ;}.tatsu-HJdUAXPO0a{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/49PEB4h " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rktUAQP_0T "><style>.tatsu-rktUAQP_0T .tatsu-icon{color: #00bcdd ;}.tatsu-rktUAQP_0T{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/4aa8FYg " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S19I07vOC6 "><style>.tatsu-S19I07vOC6 .tatsu-icon{color: #00bcdd ;}.tatsu-S19I07vOC6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/49RGduy " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r14LRQw_C6.tatsu-column{width: 13.3%;}.tatsu-r14LRQw_C6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r14LRQw_C6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r14LRQw_C6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r14LRQw_C6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r14LRQw_C6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r14LRQw_C6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r14LRQw_C6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r14LRQw_C6.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-SJ_mxZ0p6" ><style>.tatsu-SJ_mxZ0p6.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BJxO7x-Apa" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ByWumeZC6p "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ByWumeZC6p.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-ByWumeZC6p .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 38: </span><strong>You’re Probably Overthinking It. Demystifying Data with Allen Downey</strong></p><p>In this episode, Allen Downey, PhD, experienced instructor, expert in Data Science and Bayesian Statistics, and author of the book “Probably Overthinking It,” will take you on an exploration of surprising statistical phenomena and how they’re related to real-life common mistakes like the base rate fallacy, length-biased sampling, and Simpson’s paradox.</p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-BJxO7x-Apa.tatsu-column{width: 37.89%;}.tatsu-BJxO7x-Apa.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-BJxO7x-Apa > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJxO7x-Apa > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJxO7x-Apa > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJxO7x-Apa > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJxO7x-Apa.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJxO7x-Apa.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJxO7x-Apa.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ByGOmxWR66" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-SJmO7lWCT6 " ><div id="audioigniter-107088" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=107088" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-ByGOmxWR66.tatsu-column{width: 48.8%;}.tatsu-ByGOmxWR66.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-ByGOmxWR66 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ByGOmxWR66 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ByGOmxWR66 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ByGOmxWR66 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ByGOmxWR66.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ByGOmxWR66.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ByGOmxWR66.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-SyNOXxbATa" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SyHdXx-Cpa "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SyHdXx-Cpa.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rJI_XeZ0ap " ><style>.tatsu-rJI_XeZ0ap.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ryvd7lbATp "><style>.tatsu-ryvd7lbATp .tatsu-icon{color: #00bcdd ;}.tatsu-ryvd7lbATp{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3IAM4bm" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJu_QxbA6T "><style>.tatsu-SJu_QxbA6T .tatsu-icon{color: #00bcdd ;}.tatsu-SJu_QxbA6T{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/4a6Mp1p " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkYdQg-Ca6 "><style>.tatsu-BkYdQg-Ca6 .tatsu-icon{color: #00bcdd ;}.tatsu-BkYdQg-Ca6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/4aa8o7G" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJ9OXlWRTT "><style>.tatsu-BJ9OXlWRTT .tatsu-icon{color: #00bcdd ;}.tatsu-BJ9OXlWRTT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3VfshWO" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SyNOXxbATa.tatsu-column{width: 13.3%;}.tatsu-SyNOXxbATa.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SyNOXxbATa > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyNOXxbATa > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyNOXxbATa > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyNOXxbATa > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyNOXxbATa.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyNOXxbATa.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyNOXxbATa.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-BykTkbCa6" ><style>.tatsu-BykTkbCa6.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Hyg1T1-RTa" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJ-JpkWR66 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJ-JpkWR66.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-rJ-JpkWR66 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 37: </span><strong>No-Code & Low-Code AI: The New Era of Inclusive Tech Development with Gwendolyn Stripling</strong></p><p>In this episode of ODSC’s Ai X Podcast, join<strong> Gwendolyn D. Stripling</strong>,<strong> PhD</strong>, AI/ML Content Developer at <strong>Google Cloud</strong> and author of <strong>Low-Code AI,</strong> to discuss the importance and impact of low-code and no-code AI on the industry. In this wide-ranging interview, they’ll explore how low-code and no-code can make AI more inclusive, how businesses can effectively implement AI solutions, and real-world examples of low-code AI in practice. </p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Hyg1T1-RTa.tatsu-column{width: 37.89%;}.tatsu-Hyg1T1-RTa.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Hyg1T1-RTa > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hyg1T1-RTa > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hyg1T1-RTa > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hyg1T1-RTa > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hyg1T1-RTa.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hyg1T1-RTa.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hyg1T1-RTa.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJGy61W0a6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Sk71pkZ0pT " ><div id="audioigniter-107083" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=107083" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-HJGy61W0a6.tatsu-column{width: 48.8%;}.tatsu-HJGy61W0a6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-HJGy61W0a6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJGy61W0a6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJGy61W0a6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJGy61W0a6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJGy61W0a6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJGy61W0a6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJGy61W0a6.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-Sk4ypJb06p" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SyBkTybAT6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SyBkTybAT6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-By816JbC6T " ><style>.tatsu-By816JbC6T.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1wJ6yb066 "><style>.tatsu-S1wJ6yb066 .tatsu-icon{color: #00bcdd ;}.tatsu-S1wJ6yb066{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3wSeJq1" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ryOJ6kbA6a "><style>.tatsu-ryOJ6kbA6a .tatsu-icon{color: #00bcdd ;}.tatsu-ryOJ6kbA6a{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3Th6efw " class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyYyTk-0Ta "><style>.tatsu-HyYyTk-0Ta .tatsu-icon{color: #00bcdd ;}.tatsu-HyYyTk-0Ta{border-width: 0px 0px 0px 0px;}</style><a href=" https://bit.ly/4a9AMql" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rk91pJZ0Tp "><style>.tatsu-rk91pJZ0Tp .tatsu-icon{color: #00bcdd ;}.tatsu-rk91pJZ0Tp{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3IwGtD9" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Sk4ypJb06p.tatsu-column{width: 13.3%;}.tatsu-Sk4ypJb06p.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Sk4ypJb06p > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Sk4ypJb06p > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Sk4ypJb06p > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Sk4ypJb06p > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Sk4ypJb06p.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Sk4ypJb06p.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Sk4ypJb06p.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-hnpqxp3eoh3x8zaj" ><style>.tatsu-hnpqxp3eoh3x8zaj.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-hnpqxp3eslg0iyvl" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-hnpqxp3eux5045sl "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-hnpqxp3eux5045sl.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-hnpqxp3eux5045sl .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 36: </span>Guiding the Narrative: Shaping the Accuracy of LLM-Generated Content with Outlines by Remi Louf & Dan Gerlanc</p><p>In this episode of ODSC’s Ai X Podcast, you’ll explore guided outputs for Large Language Models. Casual users of LLMs expect the responses they receive to be clear, understandable answers or engaging dialogue, which is achievable without special guidance. If you want to use an LLM through an Application Programming Interface (API), you will need to guide the outputs. Without proper guidance, the LLM might return information in a format that’s incompatible or requires significant reformatting, making it less efficient or even unusable for the intended purpose.</p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hnpqxp3eslg0iyvl.tatsu-column{width: 37.89%;}.tatsu-hnpqxp3eslg0iyvl.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hnpqxp3eslg0iyvl > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hnpqxp3eslg0iyvl > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hnpqxp3eslg0iyvl > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hnpqxp3eslg0iyvl > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hnpqxp3eslg0iyvl.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hnpqxp3eslg0iyvl.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hnpqxp3eslg0iyvl.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-hnpqxp3exch89rk" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-hnpqxp3eze33ma8s " ><div id="audioigniter-106372" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=106372" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-hnpqxp3exch89rk.tatsu-column{width: 48.8%;}.tatsu-hnpqxp3exch89rk.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-hnpqxp3exch89rk > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hnpqxp3exch89rk > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hnpqxp3exch89rk > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hnpqxp3exch89rk > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hnpqxp3exch89rk.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hnpqxp3exch89rk.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hnpqxp3exch89rk.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-hnpqxp3gzq5b8113" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-hnpqxp3h2yge47ie "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-hnpqxp3h2yge47ie.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-hnpqxp3h437hpo11 " ><style>.tatsu-hnpqxp3h437hpo11.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-hnpqxp3i81dddxab "><style>.tatsu-hnpqxp3i81dddxab .tatsu-icon{color: #00bcdd ;}.tatsu-hnpqxp3i81dddxab{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasters.spotify.com/pod/show/ai-x-podcast/episodes/Guiding-the-Narrative-Shaping-the-Accuracy-of-LLM-Generated-Content-with-Outlines-e2g3esv" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-hnpqxp3ilzfggufw "><style>.tatsu-hnpqxp3ilzfggufw .tatsu-icon{color: #00bcdd ;}.tatsu-hnpqxp3ilzfggufw{border-width: 0px 0px 0px 0px;}</style><a href="https://soundcloud.com/aixpodcast/guiding-the-narrative-shaping-the-accuracy-of-llm-generated-content-with-outlines-with-remi-louf-dan-gerlanc?si=9de6c21a909346d8a78ea3a572310915&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-hnpqxp3iyg8dyltf "><style>.tatsu-hnpqxp3iyg8dyltf .tatsu-icon{color: #00bcdd ;}.tatsu-hnpqxp3iyg8dyltf{border-width: 0px 0px 0px 0px;}</style><a href="https://podcasts.apple.com/us/podcast/guiding-the-narrative-shaping-the-accuracy-of/id1721516836?i=1000646286498" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-hnpqxp3jaidtt4bs "><style>.tatsu-hnpqxp3jaidtt4bs .tatsu-icon{color: #00bcdd ;}.tatsu-hnpqxp3jaidtt4bs{border-width: 0px 0px 0px 0px;}</style><a href="https://castbox.fm/episode/id5754266-id675038184?utm_source=podcaster&utm_medium=dlink&utm_campaign=e_675038184&utm_content=Guiding%20the%20Narrative%3A%20Shaping%20the%20Accuracy%20of%20LLM-Generated%20Content%20with%20Outlines%20with%20Remi%20Louf%20and%20Dan%20Gerlanc-CastBox_FM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hnpqxp3gzq5b8113.tatsu-column{width: 13.3%;}.tatsu-hnpqxp3gzq5b8113.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hnpqxp3gzq5b8113 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hnpqxp3gzq5b8113 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hnpqxp3gzq5b8113 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hnpqxp3gzq5b8113 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hnpqxp3gzq5b8113.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hnpqxp3gzq5b8113.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hnpqxp3gzq5b8113.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-Bk6aqMk6T" ><style>.tatsu-Bk6aqMk6T.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BJl6pqMypp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-H1ZaaczJTa "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-H1ZaaczJTa.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-H1ZaaczJTa .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 35: <span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"><span style="font-weight: 400;">Large Language Models: Strategies and Best Practices with Sinan Ozdemir</span></span></span></p><p><span style="font-weight: 400;">In this episode, hear from Sinan Ozdemir, author of the Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs. This wide-ranging discussion will take you through Sinan’s inspiration and motivations for writing this book on LLMs, as well as common questions and challenges that arise when working with LLMs. Finally, Sinan shares his take on what the future of LLMs might look like.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-BJl6pqMypp.tatsu-column{width: 37.89%;}.tatsu-BJl6pqMypp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-BJl6pqMypp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJl6pqMypp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJl6pqMypp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJl6pqMypp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJl6pqMypp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJl6pqMypp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJl6pqMypp.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BkzpaqzkpT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HJX6p5GyTp " ><div id="audioigniter-106180" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=106180" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BkzpaqzkpT.tatsu-column{width: 48.8%;}.tatsu-BkzpaqzkpT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BkzpaqzkpT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BkzpaqzkpT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkzpaqzkpT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BkzpaqzkpT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BkzpaqzkpT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BkzpaqzkpT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BkzpaqzkpT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-SJNa6czy6a" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-r1S6acGyap "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-r1S6acGyap.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-HkU6pqzk66 " ><style>.tatsu-HkU6pqzk66.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Bkvp6qfyaT "><style>.tatsu-Bkvp6qfyaT .tatsu-icon{color: #00bcdd ;}.tatsu-Bkvp6qfyaT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3HYiCfd" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkupT5fypa "><style>.tatsu-BkupT5fypa .tatsu-icon{color: #00bcdd ;}.tatsu-BkupT5fypa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3UEZZVd" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rkYTT5fy6p "><style>.tatsu-rkYTT5fy6p .tatsu-icon{color: #00bcdd ;}.tatsu-rkYTT5fy6p{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3wd6hBg" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Bycp6cfyTa "><style>.tatsu-Bycp6cfyTa .tatsu-icon{color: #00bcdd ;}.tatsu-Bycp6cfyTa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3unRHXb" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SJNa6czy6a.tatsu-column{width: 13.3%;}.tatsu-SJNa6czy6a.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SJNa6czy6a > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SJNa6czy6a > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SJNa6czy6a > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SJNa6czy6a > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SJNa6czy6a.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SJNa6czy6a.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SJNa6czy6a.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-BkA9Wvij6" ><style>.tatsu-BkA9Wvij6.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-SkxRc-Dis6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJ-A9-PoiT "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJ-A9-PoiT.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-rJ-A9-PoiT .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 34: <span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"><span style="font-weight: 400;">The Modern Data Science Development Toolkit with Greg Michaelson</span></span></span></p><p><span style="font-weight: 400;">In this engaging discussion on the modern data science development toolkit, Greg Michaelson takes you through the tools, skills, and techniques that will help you improve your end-to-end development process. </span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SkxRc-Dis6.tatsu-column{width: 37.89%;}.tatsu-SkxRc-Dis6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SkxRc-Dis6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SkxRc-Dis6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SkxRc-Dis6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SkxRc-Dis6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SkxRc-Dis6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SkxRc-Dis6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SkxRc-Dis6.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BJfR5ZDssa" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HJm09bPsjp " ><div id="audioigniter-106177" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=106177" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BJfR5ZDssa.tatsu-column{width: 48.8%;}.tatsu-BJfR5ZDssa.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BJfR5ZDssa > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BJfR5ZDssa > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BJfR5ZDssa > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BJfR5ZDssa > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BJfR5ZDssa.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BJfR5ZDssa.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BJfR5ZDssa.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-B1NA5Zwjs6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rJHR5Wvoia "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rJHR5Wvoia.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-BJIAqWvooT " ><style>.tatsu-BJIAqWvooT.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ByvAcbvjsa "><style>.tatsu-ByvAcbvjsa .tatsu-icon{color: #00bcdd ;}.tatsu-ByvAcbvjsa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/49eC4jJ" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Hy_A5ZDjjp "><style>.tatsu-Hy_A5ZDjjp .tatsu-icon{color: #00bcdd ;}.tatsu-Hy_A5ZDjjp{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/42BfyPK" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJKC9Zwsj6 "><style>.tatsu-BJKC9Zwsj6 .tatsu-icon{color: #00bcdd ;}.tatsu-BJKC9Zwsj6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3SxIKT4" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-By5C5-vioT "><style>.tatsu-By5C5-vioT .tatsu-icon{color: #00bcdd ;}.tatsu-By5C5-vioT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3uvJ6Si" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-B1NA5Zwjs6.tatsu-column{width: 13.3%;}.tatsu-B1NA5Zwjs6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-B1NA5Zwjs6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1NA5Zwjs6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1NA5Zwjs6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1NA5Zwjs6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1NA5Zwjs6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1NA5Zwjs6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1NA5Zwjs6.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HyrQbPoip" ><style>.tatsu-HyrQbPoip.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div id = "e33" class="tatsu-row e33" ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-S1gSm-wsjT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Sy-SXWDos6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Sy-SXWDos6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><p><span style="color: #f7105d;">Episode 33:<span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> Troubleshooting Large Language Models </span></span></p><p><span style="color: #ffffff;">Join Amber Roberts for a wide-ranging discussion on the challenges and possible solutions for troubleshooting unstructured data, in their upcoming interview, Troubleshooting Large Language Models. Examine recent research on ways to measure and benchmark LLM models, and insights gained from various testing approaches.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S1gSm-wsjT.tatsu-column{width: 37.89%;}.tatsu-S1gSm-wsjT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S1gSm-wsjT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S1gSm-wsjT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S1gSm-wsjT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S1gSm-wsjT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S1gSm-wsjT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S1gSm-wsjT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S1gSm-wsjT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-B1MHmbvoiT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-SkmB7-vioT " ><div id="audioigniter-105038" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105038" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-B1MHmbvoiT.tatsu-column{width: 48.8%;}.tatsu-B1MHmbvoiT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-B1MHmbvoiT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1MHmbvoiT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1MHmbvoiT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1MHmbvoiT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1MHmbvoiT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1MHmbvoiT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1MHmbvoiT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-rkVBmbviia" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BkHHmZwioa "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BkHHmZwioa.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-H1ISXbPsj6 " ><style>.tatsu-H1ISXbPsj6.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyDr7bwisa "><style>.tatsu-HyDr7bwisa .tatsu-icon{color: #00bcdd ;}.tatsu-HyDr7bwisa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/49gm3JF" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SkdHQWDssa "><style>.tatsu-SkdHQWDssa .tatsu-icon{color: #00bcdd ;}.tatsu-SkdHQWDssa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3ucQS38" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HyKSQWwjiT "><style>.tatsu-HyKSQWwjiT .tatsu-icon{color: #00bcdd ;}.tatsu-HyKSQWwjiT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/4bd7WGV" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-H19r7bPssT "><style>.tatsu-H19r7bPssT .tatsu-icon{color: #00bcdd ;}.tatsu-H19r7bPssT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/42m1NEc" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rkVBmbviia.tatsu-column{width: 13.3%;}.tatsu-rkVBmbviia.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rkVBmbviia > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rkVBmbviia > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rkVBmbviia > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rkVBmbviia > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rkVBmbviia.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rkVBmbviia.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rkVBmbviia.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJ6hg3HiT" ><style>.tatsu-rJ6hg3HiT.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Bklp2x2HjT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BJZ6hgnHja "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BJZ6hgnHja.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><p><span style="color: #f7105d;">Episode 32:<span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> <span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Exploring AI Innovation in Singapore and Beyond </span></span></span></p><p><span style="color: #ffffff;">Join the Director of AI Innovation and AI trailblazer, Laurence Liew, on a fascinating journey into the heart of AI innovation in Singapore and beyond, and an exploration of his insights, experiences, and the exciting future he envisions for AI in the region.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Bklp2x2HjT.tatsu-column{width: 37.89%;}.tatsu-Bklp2x2HjT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Bklp2x2HjT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Bklp2x2HjT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Bklp2x2HjT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Bklp2x2HjT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Bklp2x2HjT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Bklp2x2HjT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Bklp2x2HjT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Hkfa2xnHsT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Hymp3l3Sj6 " ><div id="audioigniter-105324" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105324" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-Hkfa2xnHsT.tatsu-column{width: 48.8%;}.tatsu-Hkfa2xnHsT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-Hkfa2xnHsT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hkfa2xnHsT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hkfa2xnHsT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hkfa2xnHsT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hkfa2xnHsT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hkfa2xnHsT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hkfa2xnHsT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-rkEThg2Hsp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ryra2ehHjp "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ryra2ehHjp.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-HkIpng3ri6 " ><style>.tatsu-HkIpng3ri6.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-H1P6ngnBs6 "><style>.tatsu-H1P6ngnBs6 .tatsu-icon{color: #00bcdd ;}.tatsu-H1P6ngnBs6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3SyFfwR" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SkO6he3rsa "><style>.tatsu-SkO6he3rsa .tatsu-icon{color: #00bcdd ;}.tatsu-SkO6he3rsa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3Uq6FXj" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-Hktphe3SjT "><style>.tatsu-Hktphe3SjT .tatsu-icon{color: #00bcdd ;}.tatsu-Hktphe3SjT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3Oo7sEl" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rJqp3ehBia "><style>.tatsu-rJqp3ehBia .tatsu-icon{color: #00bcdd ;}.tatsu-rJqp3ehBia{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3SBLIHr" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rkEThg2Hsp.tatsu-column{width: 13.3%;}.tatsu-rkEThg2Hsp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rkEThg2Hsp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rkEThg2Hsp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rkEThg2Hsp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rkEThg2Hsp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rkEThg2Hsp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rkEThg2Hsp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rkEThg2Hsp.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HJ3xyhBop" ><style>.tatsu-HJ3xyhBop.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-HJg2lknrsp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-S1b3eynSop "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-S1b3eynSop.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><p><span style="color: #f7105d;">Episode 31:<span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> <span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Acing the Data Science Interview </span></span></span></p><p><span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">The fields of data science and artificial intelligence are dynamic ones, with needs changing constantly. In this interview, we’ll speak with Nick Singh, Author of “Ace the Data Science Interview,” about what people can do in 2024 to stand out in a competitive job market and how to ace the interview aspect.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HJg2lknrsp.tatsu-column{width: 37.89%;}.tatsu-HJg2lknrsp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HJg2lknrsp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJg2lknrsp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJg2lknrsp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJg2lknrsp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJg2lknrsp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJg2lknrsp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJg2lknrsp.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ryf3xknSoa" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Hymnek3Hsa " ><div id="audioigniter-105321" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105321" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-ryf3xknSoa.tatsu-column{width: 48.8%;}.tatsu-ryf3xknSoa.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-ryf3xknSoa > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ryf3xknSoa > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ryf3xknSoa > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ryf3xknSoa > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ryf3xknSoa.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ryf3xknSoa.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ryf3xknSoa.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-S14ngkhSjp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-rkS2x1hHjp "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-rkS2x1hHjp.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-SkUne13Hia " ><style>.tatsu-SkUne13Hia.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-H1DhxJ3rj6 "><style>.tatsu-H1DhxJ3rj6 .tatsu-icon{color: #00bcdd ;}.tatsu-H1DhxJ3rj6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/48PD5Pl" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJ_3l1hBi6 "><style>.tatsu-SJ_3l1hBi6 .tatsu-icon{color: #00bcdd ;}.tatsu-SJ_3l1hBi6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3Uq6FXj" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1F2e1nBoa "><style>.tatsu-S1F2e1nBoa .tatsu-icon{color: #00bcdd ;}.tatsu-S1F2e1nBoa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/48SQ4zE" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-By5neynSjT "><style>.tatsu-By5neynSjT .tatsu-icon{color: #00bcdd ;}.tatsu-By5neynSjT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/48SQcPE" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-S14ngkhSjp.tatsu-column{width: 13.3%;}.tatsu-S14ngkhSjp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-S14ngkhSjp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-S14ngkhSjp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-S14ngkhSjp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-S14ngkhSjp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-S14ngkhSjp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-S14ngkhSjp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-S14ngkhSjp.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-Hys56jBop" ><style>.tatsu-Hys56jBop.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Skgo96iBia" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Sk-s5ajHs6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Sk-s5ajHs6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-Sk-s5ajHs6 .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><p><span style="color: #f7105d;">Episode 30:<span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> <span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Data Storytelling</span></span></span></p><p><span style="font-weight: 400;">Data doesn’t have to feel like a different language. Data storytelling can help effectively communicate data insights in a compelling, understandable manner. Learn how in this episode of the Ai X Podcast with Dominic Bohan.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Skgo96iBia.tatsu-column{width: 37.89%;}.tatsu-Skgo96iBia.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Skgo96iBia > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Skgo96iBia > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Skgo96iBia > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Skgo96iBia > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Skgo96iBia.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Skgo96iBia.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Skgo96iBia.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BkMo5aiHjp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-Skmjc6oro6 " ><div id="audioigniter-105319" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105319" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BkMo5aiHjp.tatsu-column{width: 48.8%;}.tatsu-BkMo5aiHjp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BkMo5aiHjp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BkMo5aiHjp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkMo5aiHjp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BkMo5aiHjp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BkMo5aiHjp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BkMo5aiHjp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BkMo5aiHjp.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-SyNj9TiHo6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BJBs9ToHjT "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BJBs9ToHjT.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-SyIi5airiT " ><style>.tatsu-SyIi5airiT.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1Do5TsSiT "><style>.tatsu-B1Do5TsSiT .tatsu-icon{color: #00bcdd ;}.tatsu-B1Do5TsSiT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/48J6LNz" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rydiq6iHjT "><style>.tatsu-rydiq6iHjT .tatsu-icon{color: #00bcdd ;}.tatsu-rydiq6iHjT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3S7asHr" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BytscTiHoT "><style>.tatsu-BytscTiHoT .tatsu-icon{color: #00bcdd ;}.tatsu-BytscTiHoT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3vl3AgH" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-By5i56oBsa "><style>.tatsu-By5i56oBsa .tatsu-icon{color: #00bcdd ;}.tatsu-By5i56oBsa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/48tmCjB" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SyNj9TiHo6.tatsu-column{width: 13.3%;}.tatsu-SyNj9TiHo6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SyNj9TiHo6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyNj9TiHo6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyNj9TiHo6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyNj9TiHo6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyNj9TiHo6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyNj9TiHo6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyNj9TiHo6.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-S1x6-djri6" ><style>.tatsu-S1x6-djri6.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-H1WT-uoSsT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-ryzTbdoBo6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ryzTbdoBo6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h5><span style="color: #f7105d;">Episode 29: <span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Catastrophic AI risks</span></span></h5><p><span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Explore the main sources of catastrophic AI risks with Dan Hendrycks PhD, Executive Director of the Center for AI Safety, in this interview. Dan will address the four categories of catastrophic AI risks: malicious use, AI race, organizational risks, and rogue AIs.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-H1WT-uoSsT.tatsu-column{width: 37.89%;}.tatsu-H1WT-uoSsT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-H1WT-uoSsT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-H1WT-uoSsT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-H1WT-uoSsT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-H1WT-uoSsT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-H1WT-uoSsT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-H1WT-uoSsT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-H1WT-uoSsT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Hk76bOiriT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-SyEp-OjHja " ><div id="audioigniter-105308" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105308" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-Hk76bOiriT.tatsu-column{width: 48.8%;}.tatsu-Hk76bOiriT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-Hk76bOiriT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hk76bOiriT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hk76bOiriT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hk76bOiriT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hk76bOiriT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hk76bOiriT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hk76bOiriT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-BkHTbdiBi6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BJ8TWdsrsa "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BJ8TWdsrsa.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-H1PpZujBop " ><style>.tatsu-H1PpZujBop.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-H1OpWOjSi6 "><style>.tatsu-H1OpWOjSi6 .tatsu-icon{color: #00bcdd ;}.tatsu-H1OpWOjSi6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3vvfl42" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJFa-_srjT "><style>.tatsu-BJFa-_srjT .tatsu-icon{color: #00bcdd ;}.tatsu-BJFa-_srjT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3tMFwTi" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJ5a-uiriT "><style>.tatsu-HJ5a-uiriT .tatsu-icon{color: #00bcdd ;}.tatsu-HJ5a-uiriT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3HaAiE6" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-SJoabOsrjT "><style>.tatsu-SJoabOsrjT .tatsu-icon{color: #00bcdd ;}.tatsu-SJoabOsrjT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3Sezd4c" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-BkHTbdiBi6.tatsu-column{width: 13.3%;}.tatsu-BkHTbdiBi6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-BkHTbdiBi6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BkHTbdiBi6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkHTbdiBi6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BkHTbdiBi6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BkHTbdiBi6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BkHTbdiBi6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BkHTbdiBi6.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-BylZFHoHsa" ><style>.tatsu-BylZFHoHsa.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-B1ZbKSjSo6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HyzWFHoroa "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HyzWFHoroa.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h5><span style="color: #f7105d;">Episode 28: <span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Past, Present, and Future of Large Language Models</span></span></h5><p><span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Hear Thomas Scialom, the researcher behind renowned Generative AI projects like Llama 2, BLOOM, Toolformer, and Galactica, for an hour long discussion on the past, present, and future of LLMs. Over the course of an hour, you’ll explore recent developments and take a deep dive into future research trends in LLMs.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-B1ZbKSjSo6.tatsu-column{width: 37.89%;}.tatsu-B1ZbKSjSo6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-B1ZbKSjSo6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1ZbKSjSo6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1ZbKSjSo6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1ZbKSjSo6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1ZbKSjSo6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1ZbKSjSo6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1ZbKSjSo6.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BkQ-KBjrop" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-HyNZKBjrs6 " ><div id="audioigniter-105057" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105057" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-BkQ-KBjrop.tatsu-column{width: 48.8%;}.tatsu-BkQ-KBjrop.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-BkQ-KBjrop > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BkQ-KBjrop > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkQ-KBjrop > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BkQ-KBjrop > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BkQ-KBjrop.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BkQ-KBjrop.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BkQ-KBjrop.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-B1B-YBiBop" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-BkLbKroHjT "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-BkLbKroHjT.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rJDWYrorsa " ><style>.tatsu-rJDWYrorsa.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BJuWFriBiT "><style>.tatsu-BJuWFriBiT .tatsu-icon{color: #00bcdd ;}.tatsu-BJuWFriBiT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3vxc2th" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HkF-tHsrop "><style>.tatsu-HkF-tHsrop .tatsu-icon{color: #00bcdd ;}.tatsu-HkF-tHsrop{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3TVI502" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r19WKroBip "><style>.tatsu-r19WKroBip .tatsu-icon{color: #00bcdd ;}.tatsu-r19WKroBip{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3TUo0r5" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-BkiZKHoHsp "><style>.tatsu-BkiZKHoHsp .tatsu-icon{color: #00bcdd ;}.tatsu-BkiZKHoHsp{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3NZS1ln" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-B1B-YBiBop.tatsu-column{width: 13.3%;}.tatsu-B1B-YBiBop.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-B1B-YBiBop > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1B-YBiBop > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1B-YBiBop > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1B-YBiBop > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1B-YBiBop.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1B-YBiBop.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1B-YBiBop.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><style>.tatsu-By-FSjHjT.tatsu-section{background-color: rgba(34,32,32,1);}.tatsu-By-FSjHjT .tatsu-section-pad{padding: 30px 0px 30px 56px;}.tatsu-By-FSjHjT > .tatsu-bottom-divider{z-index: 9999;}.tatsu-By-FSjHjT > .tatsu-top-divider{z-index: 9999;}</style></div><div id="aipitch" class="tatsu-Bk8BybRaa tatsu-section tatsu-clearfix" data-title="Podcast Audio" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"30px 0px 30px 56px"}' data-padding-top='30px'><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-ByhrIH1b0ap" ><style>.tatsu-ByhrIH1b0ap.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ry6HLrJWRaT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-SJRrUrkbCT6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SJRrUrkbCT6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h5><span style="color: #f7105d;">Episode 27:<span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> <span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">The Ethics of Digital Minds </span></span></span></h5><p><span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">Join Nick Bostorm, founding director and head of the Future of Humanity Institute at Oxford University and NYT bestselling author of Superintelligence, for a discussion on the ethics of digital minds. Over the course of an hour, you’ll explore the implications of a future where AI develops into morally considerable beings and the challenges that this presents.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ry6HLrJWRaT.tatsu-column{width: 37.89%;}.tatsu-ry6HLrJWRaT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ry6HLrJWRaT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ry6HLrJWRaT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ry6HLrJWRaT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ry6HLrJWRaT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ry6HLrJWRaT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ry6HLrJWRaT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ry6HLrJWRaT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-H1yUUHkbCpp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-rkxULSkWRpp " ><div id="audioigniter-105315" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105315" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-H1yUUHkbCpp.tatsu-column{width: 48.8%;}.tatsu-H1yUUHkbCpp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-H1yUUHkbCpp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-H1yUUHkbCpp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-H1yUUHkbCpp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-H1yUUHkbCpp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-H1yUUHkbCpp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-H1yUUHkbCpp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-H1yUUHkbCpp.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HybL8rk-RT6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-H1MIISyb0Tp "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-H1MIISyb0Tp.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-B1QIUBJbC6p " ><style>.tatsu-B1QIUBJbC6p.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJELLH1ZApT "><style>.tatsu-HJELLH1ZApT .tatsu-icon{color: #00bcdd ;}.tatsu-HJELLH1ZApT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/4aROMGr" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJHIIH1W0pp "><style>.tatsu-HJHIIH1W0pp .tatsu-icon{color: #00bcdd ;}.tatsu-HJHIIH1W0pp{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/47vnBhT" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-r1LILrkWAa6 "><style>.tatsu-r1LILrkWAa6 .tatsu-icon{color: #00bcdd ;}.tatsu-r1LILrkWAa6{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/48uWSmQ" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-S1D8ISybRpa "><style>.tatsu-S1D8ISybRpa .tatsu-icon{color: #00bcdd ;}.tatsu-S1D8ISybRpa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3RL5Q8o" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HybL8rk-RT6.tatsu-column{width: 13.3%;}.tatsu-HybL8rk-RT6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HybL8rk-RT6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HybL8rk-RT6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HybL8rk-RT6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HybL8rk-RT6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HybL8rk-RT6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HybL8rk-RT6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HybL8rk-RT6.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-row-full-width tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HydIIrkbCaT" ><style>.tatsu-HydIIrkbCaT.tatsu-row-wrap > .tatsu-row{padding: 0px 30px 0px 0px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-ByF8UrJ-Cp6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HJcUUrk-AT6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HJcUUrk-AT6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h5><span style="color: #f7105d;">Episode 21:<span style="color: #ffffff;" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{"> <span data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">AI Enabled Drug Discovery </span></span></span></h5><p><span style="color: #ffffff;" role="" data-sheets-root="1" data-sheets-value="{" data-sheets-userformat="{">In this Lightning Interview from ODSC and Ai+ Training, Daphne Koller, CEO and Founder of insitro, will share her knowledge about and expertise in machine learning-drive drug discovery. She’ll discuss the challenges faced, recent advances, and what she believes is the future of this technology and it’s role in the healthcare and Pharma industries.</span></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ByF8UrJ-Cp6.tatsu-column{width: 37.89%;}.tatsu-ByF8UrJ-Cp6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ByF8UrJ-Cp6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ByF8UrJ-Cp6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ByF8UrJ-Cp6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ByF8UrJ-Cp6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ByF8UrJ-Cp6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ByF8UrJ-Cp6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ByF8UrJ-Cp6.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-column-no-bg tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-Hkj8LH1-CaT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-shortcode-module tatsu-module tatsu-SynULBy-RTa " ><div id="audioigniter-105326" class="audioigniter-root " data-player-type="full" data-tracks-url="https://odsc.com/?audioigniter_playlist_id=105326" data-display-track-no="true" data-reverse-track-order="false" data-display-tracklist-covers="true" data-display-active-cover="true" data-display-artist-names="true" data-display-buy-buttons="true" data-buy-buttons-target="true" data-cycle-tracks="false" data-display-credits="false" data-display-tracklist="true" data-allow-tracklist-toggle="true" data-allow-tracklist-loop="false" data-limit-tracklist-height="true" data-volume="70" data-tracklist-height="50" ></div><br /></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-Hkj8LH1-CaT.tatsu-column{width: 48.8%;}.tatsu-Hkj8LH1-CaT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-Hkj8LH1-CaT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hkj8LH1-CaT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hkj8LH1-CaT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hkj8LH1-CaT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hkj8LH1-CaT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hkj8LH1-CaT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hkj8LH1-CaT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-align-top tatsu-column-image-none tatsu-column-effect-none tatsu-HypI8SyWCpa" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HyA8ISyZ06a "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HyA8ISyZ06a.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><h4><span style="color: #f7105d;">Subscribe</span></h4></div></div><div class="tatsu-module tatsu-icon-group tatsu-rk1wISJZCaa " ><style>.tatsu-rk1wISJZCaa.tatsu-icon-group{text-align: left;margin: 0px 0px 20px 0px;}</style><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-ryxwIBybC6T "><style>.tatsu-ryxwIBybC6T .tatsu-icon{color: #00bcdd ;}.tatsu-ryxwIBybC6T{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3NWSYuM" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Spotify-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-HJZD8Sk-ATT "><style>.tatsu-HJZD8Sk-ATT .tatsu-icon{color: #00bcdd ;}.tatsu-HJZD8Sk-ATT{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3SgzELK" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/soundcloud-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-rJfDUrJ-Aaa "><style>.tatsu-rJfDUrJ-Aaa .tatsu-icon{color: #00bcdd ;}.tatsu-rJfDUrJ-Aaa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/3tX8vno" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/Apple-Podcasts-1-150x150.png" class="tatsu-icon-image small plain"></a></div><div class="tatsu-module tatsu-normal-icon tatsu-icon-shortcode align-none tatsu-B1QDLSkbRaa "><style>.tatsu-B1QDLSkbRaa .tatsu-icon{color: #00bcdd ;}.tatsu-B1QDLSkbRaa{border-width: 0px 0px 0px 0px;}</style><a href="https://bit.ly/4aNKIXN" class="tatsu-icon-wrap plain tatsu-animate " data-animation="fadeIn" aria-label="icon-icon_desktop" data-gdpr-atts={} target="_blank" ><img decoding="async" src="https://odsc.com/wp-content/uploads/2024/01/castbox-1-150x150.png" class="tatsu-icon-image small plain"></a></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HypI8SyWCpa.tatsu-column{width: 13.3%;}.tatsu-HypI8SyWCpa.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HypI8SyWCpa > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HypI8SyWCpa > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HypI8SyWCpa > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HypI8SyWCpa > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HypI8SyWCpa.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HypI8SyWCpa.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HypI8SyWCpa.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><style>.tatsu-Bk8BybRaa.tatsu-section{background-color: rgba(34,32,32,1);}.tatsu-Bk8BybRaa .tatsu-section-pad{padding: 30px 0px 30px 56px;}.tatsu-Bk8BybRaa > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Bk8BybRaa > .tatsu-top-divider{z-index: 9999;}</style></div><div class="tatsu-hlx2vrl3x42lh70j tatsu-section tatsu-bg-overlay tatsu-hide-desktop tatsu-hide-laptop tatsu-clearfix" data-title="mob version" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"26px 0px 18px 0px","m":"26px 0px 25px 0px"}' data-padding-top='26px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-one-col tatsu-row-has-one-cols tatsu-small-gutter tatsu-reg-cols tatsu-clearfix tatsu-hlx2vrl41cevkz0t" ><style>.tatsu-hlx2vrl41cevkz0t > .tatsu-row{margin-top: 0px;}.tatsu-hlx2vrl41cevkz0t.tatsu-row-wrap > .tatsu-row{margin-bottom: -14px;}</style><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-hlx2vrl455fitvtn" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-hlx2vrl4kf4nzeaz " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2024/01/PODCAST_BANNER_MOBILE_3-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-hlx2vrl4kf4nzeaz .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-hlx2vrl4kf4nzeaz.tatsu-single-image{transform: translate3d(0px,0px, 0);}@media only screen and (max-width: 767px) {.tatsu-hlx2vrl4kf4nzeaz{margin: -1px 0 0 0;}}</style></div><div class="tatsu-module tatsu-normal-button tatsu-button-wrap align-block block-center tatsu-hlx2vrl4llj5gcm tatsu-hide-laptop tatsu-hide-desktop "><a class="tatsu-shortcode largebtn tatsu-button left-icon rounded tatsu-animate bg-animation-none " href="/podcast/" style= "" data-animation="swing" data-animation-delay="523" data-animation-duration="954" aria-label="Subscribe" data-gdpr-atts={} target="_blank">Subscribe</a><style>.tatsu-hlx2vrl4llj5gcm .tatsu-button{background-color: rgba(97,224,74,1);color: rgba(0,0,0,1) ;border-width: 1px;}.tatsu-hlx2vrl4llj5gcm .tatsu-button:hover{background-color: rgba(144,19,254,1);}.tatsu-hlx2vrl4llj5gcm.tatsu-normal-button{margin: 23px 0px 0px 0px;}@media only screen and (max-width: 767px) {.tatsu-hlx2vrl4llj5gcm.tatsu-normal-button{margin: 6px 0px 0px 0px;}}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hlx2vrl455fitvtn.tatsu-column{width: 100%;}.tatsu-hlx2vrl455fitvtn.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hlx2vrl455fitvtn > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hlx2vrl455fitvtn > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hlx2vrl455fitvtn > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hlx2vrl455fitvtn > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hlx2vrl455fitvtn.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hlx2vrl455fitvtn.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hlx2vrl455fitvtn.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div><style>.tatsu-hlx2vrl3x42lh70j.tatsu-section{background-color: rgba(0,0,0,1);}.tatsu-hlx2vrl3x42lh70j .tatsu-section-pad{padding: 26px 0px 18px 0px;}.tatsu-hlx2vrl3x42lh70j .tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-hlx2vrl3x42lh70j > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hlx2vrl3x42lh70j > .tatsu-top-divider{z-index: 9999;}.tatsu-hlx2vrl3x42lh70j .tatsu-section-overlay{mix-blend-mode: normal;}@media only screen and (max-width: 767px) {.tatsu-hlx2vrl3x42lh70j .tatsu-section-pad{padding: 26px 0px 25px 0px;}}</style></div><div id="int" class="tatsu-hfzjkancca39bj91 tatsu-section tatsu-bg-overlay tatsu-prevent-overflow tatsu-clearfix" data-title="Interviews" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"30px 0px 90px 0px"}' data-padding-top='30px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-one-col tatsu-row-has-one-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-hfzjkanclh98iymo" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-hfzjkancqrgep4zg" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="special-heading-wrap style2 oshine-module align-center tatsu-H1T3slG9n " ><div class="special-heading" ><h2 class="special-h-tag" >Check Out More Interviews</h2></div><style>.tatsu-H1T3slG9n .special-h-tag{color: rgba(255,255,255,1) ;}.tatsu-H1T3slG9n .special-heading{border-color: rgba(255,255,255,1); border-width: 1px;padding: 20px 30px 20px 30px;}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hfzjkancqrgep4zg.tatsu-column{width: 100%;}.tatsu-hfzjkancqrgep4zg.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hfzjkancqrgep4zg > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hfzjkancqrgep4zg > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hfzjkancqrgep4zg > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hfzjkancqrgep4zg > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hfzjkancqrgep4zg.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hfzjkancqrgep4zg.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hfzjkancqrgep4zg.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJQ3uV8NT" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-HylQhdEIN6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-B1BXhuNIN6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/bi11aOrglzM?si=6Znxt7xmJS_UViNY" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2024/01/ODSC_Lightning_Livestream_Oct_6_H_1-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-B1BXhuNIN6 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-B1BXhuNIN6.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HylQhdEIN6.tatsu-column{width: 33.33%;}.tatsu-HylQhdEIN6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HylQhdEIN6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HylQhdEIN6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HylQhdEIN6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HylQhdEIN6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HylQhdEIN6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HylQhdEIN6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HylQhdEIN6.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-Hkzm2OE8VT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-rkWXT2aMF6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/aHzI3IQoG30?si=WocjRzIPo18pwPBJ" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2024/01/Lightning_Livestream_Sept_22_H-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-rkWXT2aMF6 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-rkWXT2aMF6.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Hkzm2OE8VT.tatsu-column{width: 33.33%;}.tatsu-Hkzm2OE8VT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Hkzm2OE8VT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Hkzm2OE8VT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Hkzm2OE8VT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Hkzm2OE8VT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Hkzm2OE8VT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Hkzm2OE8VT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Hkzm2OE8VT.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-rJ4Q3uEINT" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-S1QmpnaGKp " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/d8pMfdU_ZcM?si=Ukb9Z4yb6IqouW46" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2024/01/Lightning_Livestream_SEPT_8_H-2-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-S1QmpnaGKp .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-S1QmpnaGKp.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rJ4Q3uEINT.tatsu-column{width: 33.33%;}.tatsu-rJ4Q3uEINT.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rJ4Q3uEINT > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rJ4Q3uEINT > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJ4Q3uEINT > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rJ4Q3uEINT > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rJ4Q3uEINT.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rJ4Q3uEINT.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rJ4Q3uEINT.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-Bk7an6zKa" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-SyxmphaMFp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-Hymm2_NL46 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/kFu_XP37wXg?si=fWZpxig5-n4L5_iU" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2024/01/Lightning_Livestream_AUG_24_H-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-Hymm2_NL46 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-Hymm2_NL46.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SyxmphaMFp.tatsu-column{width: 33.33%;}.tatsu-SyxmphaMFp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SyxmphaMFp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyxmphaMFp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyxmphaMFp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyxmphaMFp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyxmphaMFp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyxmphaMFp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyxmphaMFp.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-ryf76hafKp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-SyZXn_EU4a " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/-uUiH5AN2SM?si=CKGlEbwO81IQ4wuV" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2024/01/Lightning_Livestream_AUG_18_H-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-SyZXn_EU4a .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-SyZXn_EU4a.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-ryf76hafKp.tatsu-column{width: 33.33%;}.tatsu-ryf76hafKp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-ryf76hafKp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-ryf76hafKp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-ryf76hafKp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-ryf76hafKp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-ryf76hafKp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-ryf76hafKp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-ryf76hafKp.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-rk4QanaMFp" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-HyZZtjaGFp " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/rbfUNwKTL0c?si=24ge1aAZoO2rk2p5" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/Lightning_Livestream_JAN_20_H.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-HyZZtjaGFp .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-HyZZtjaGFp.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-rk4QanaMFp.tatsu-column{width: 33.33%;}.tatsu-rk4QanaMFp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-rk4QanaMFp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-rk4QanaMFp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rk4QanaMFp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-rk4QanaMFp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-rk4QanaMFp.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-rk4QanaMFp.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-rk4QanaMFp.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-three-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-r1WtjaGKp" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-HJx-Fo6fF6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-ryXWKoaMFp " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/4BFO-KjBVSo?si=9DIF4LoZL3cDWpK3" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/Lightning_Livestream_APR_14_HD.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-ryXWKoaMFp .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-ryXWKoaMFp.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HJx-Fo6fF6.tatsu-column{width: 33.33%;}.tatsu-HJx-Fo6fF6.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HJx-Fo6fF6 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HJx-Fo6fF6 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HJx-Fo6fF6 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HJx-Fo6fF6 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HJx-Fo6fF6.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HJx-Fo6fF6.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HJx-Fo6fF6.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-BkM-tjpzF6" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-Skr-FipfYp " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/fhJZMQM5px4?si=pFvYQbmjcxa1I4zr" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/Lightning_Livestream_JAN_27_HD-.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-Skr-FipfYp .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-Skr-FipfYp.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = 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href = "https://www.youtube.com/live/6fA60DUDqMw?si=k-hyXVOo_vZKNKKb" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/EAST_LIVESTREAM_FEB_18-HOR.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-hfzjkanehs5gk6ob .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-hfzjkanehs5gk6ob.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hfzjkandxf4wlg8w.tatsu-column{width: 33.33%;}.tatsu-hfzjkandxf4wlg8w.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hfzjkandxf4wlg8w > .tatsu-column-inner > .tatsu-top-divider{z-index: 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class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/LYRo9uCZ4R0?si=HFm-wu_-fpQeNgBo" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/Lightning_Livestream_JUL_7_HD.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-hfzjkanfgfa3akl4 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-hfzjkanfgfa3akl4.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hfzjkanf0gcv2sxn.tatsu-column{width: 33.33%;}.tatsu-hfzjkanf0gcv2sxn.tatsu-column > .tatsu-column-inner > 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class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-hfzjkanfqv4513cl " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://youtu.be/aFBVLlNDvbw?si=ZCvf71-VwUKhWBhQ" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/Lightning_Livestream_Oct_21_H.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-hfzjkanfqv4513cl .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-hfzjkanfqv4513cl.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" 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class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-hfzjkanhing1s09p" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-hfzjkanhzggg1ldq " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.youtube.com/live/hqNT9VAB_oM?si=GY1jYDjgvRxJgK9u" target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/Lightning_Livestream_Sept-01_HD.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-hfzjkanhzggg1ldq .tatsu-single-image-inner{border-style: solid;max-width: 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"_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/07/EAST_LIVESTREAM_FEB_25-HOR.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-hfzjkanifkfg0iop .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-hfzjkanifkfg0iop.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hfzjkanhv674lyos.tatsu-column{width: 33.33%;}.tatsu-hfzjkanhv674lyos.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hfzjkanhv674lyos > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hfzjkanhv674lyos > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 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9999;}.tatsu-hfzjkancca39bj91 > .tatsu-top-divider{z-index: 9999;}.tatsu-hfzjkancca39bj91 .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div id="keynotes" class="tatsu-hci1pmgoci5zhspp tatsu-section tatsu-bg-overlay tatsu-hide-0 tatsu-hide-tablet tatsu-hide-mobile tatsu-hide-laptop tatsu-hide-desktop tatsu-clearfix" data-title="past events - microsoft 2022" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"16px 0% 0px 0%"}' data-padding-top='16px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-ByxpqkyXW3" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-BkPok17Zn" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-r1aQbymbn " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/03/webinar-banner-Apr4_sq_signup-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-r1aQbymbn .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-r1aQbymbn.tatsu-single-image{transform: translate3d(0px,0px, 0);}.tatsu-r1aQbymbn{padding: 70px 0px 0px 0px;}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-BkPok17Zn.tatsu-column{width: 33.33%;}.tatsu-BkPok17Zn.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-BkPok17Zn > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-BkPok17Zn > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkPok17Zn > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-BkPok17Zn > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-BkPok17Zn.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-BkPok17Zn.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-BkPok17Zn.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-two-third tatsu-column-image-none tatsu-column-effect-none tatsu-HylwiJJXbh" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HkLR11mbn "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkLR11mbn.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-HkLR11mbn .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><h4 class="event-title" style="text-align: left;"><strong>April 4, 2023 – Unleashing the Power of Collaborative AI: Federated Learning with Azure Machine Learning and NVIDIA Flare</strong></h4><p>Speakers:</p><ul><li>Andreas Kopp, Sr. Cloud Solution Architect AI&Data Science, Microsoft</li><li>Harmke Alkemade, Cloud Solution Architect AI&Data Science, Microsoft</li></ul><p>Learn more & register <a href="https://register.gotowebinar.com/register/894702728157054552?utm_campaign=Webinars&utm_source=Community&utm_medium=Community&utm_content=Webinar%204th%20April%202023" target="_blank" rel="noopener">here</a></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-HylwiJJXbh.tatsu-column{width: 66.67%;}.tatsu-HylwiJJXbh.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HylwiJJXbh > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HylwiJJXbh > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HylwiJJXbh > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HylwiJJXbh > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HylwiJJXbh.tatsu-column{width: 66.67%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HylwiJJXbh.tatsu-column{width: 66.67%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HylwiJJXbh.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJmPWy7-h" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-third tatsu-column-image-none tatsu-column-effect-none tatsu-B1lXD-yXb2" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-rJWmD-1X-n " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/03/webinar-banner-May23_sq_signup-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-rJWmD-1X-n .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-rJWmD-1X-n.tatsu-single-image{transform: translate3d(0px,0px, 0);}.tatsu-rJWmD-1X-n{padding: 20px 0px 0px 0px;}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-B1lXD-yXb2.tatsu-column{width: 33.33%;}.tatsu-B1lXD-yXb2.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-B1lXD-yXb2 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1lXD-yXb2 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1lXD-yXb2 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1lXD-yXb2 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1lXD-yXb2.tatsu-column{width: 33.33%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1lXD-yXb2.tatsu-column{width: 33.33%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1lXD-yXb2.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-two-third tatsu-column-image-none tatsu-column-effect-none tatsu-SyfmDZk7b3" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-Skmmv-1Qbn "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Skmmv-1Qbn.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;color: rgba(255,255,255,1) ;}.tatsu-Skmmv-1Qbn .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><h4><strong>April 12, 2023 – Introduction to Time Series Analysis and Forecasting</strong></h4><p>Speakers:</p><ul><li>Stuart Kozola, Director of Product Marketing at dotData | experienced Data Scientist | Member of SIAM and IAQF</li></ul><p>Learn more & register <a href="https://register.gotowebinar.com/register/7185250643090422104?utm_campaign=Webinars&utm_source=Community&utm_medium=Community&utm_content=Webinar%2023rd%20May%202023" target="_blank" rel="noopener">here</a></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SyfmDZk7b3.tatsu-column{width: 66.67%;}.tatsu-SyfmDZk7b3.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SyfmDZk7b3 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SyfmDZk7b3 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SyfmDZk7b3 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SyfmDZk7b3 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SyfmDZk7b3.tatsu-column{width: 66.67%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SyfmDZk7b3.tatsu-column{width: 66.67%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SyfmDZk7b3.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div><style>.tatsu-hci1pmgoci5zhspp.tatsu-section{background-color: #323840;}.tatsu-hci1pmgoci5zhspp{border-width: 0px 0px px 0px;border-color: #ffffff; border-style: solid;}.tatsu-hci1pmgoci5zhspp .tatsu-section-pad{padding: 16px 0% 0px 0%;}.tatsu-hci1pmgoci5zhspp > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hci1pmgoci5zhspp > .tatsu-top-divider{z-index: 9999;}.tatsu-hci1pmgoci5zhspp .tatsu-section-overlay{background: rgba(0,0,0,1);mix-blend-mode: normal;}</style></div><div class="tatsu-hci2sifezubsan96 tatsu-section tatsu-bg-overlay tatsu-prevent-overflow tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"20px 0px 20px 0px"}' data-padding-top='20px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-one-col tatsu-row-has-one-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-hci2siff2rbufgna" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-hci2siff5ndz4t5o" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-hci2siff7oghwk3t "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-hci2siff7oghwk3t.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: center;color: rgba(0,0,0,1) ;}.tatsu-hci2siff7oghwk3t .tatsu-text-inner *{color: rgba(0,0,0,1) ;}</style><h1>FIND YOUR LOCAL CHAPTER</h1></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hci2siff5ndz4t5o.tatsu-column{width: 100%;}.tatsu-hci2siff5ndz4t5o.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hci2siff5ndz4t5o > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hci2siff5ndz4t5o > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hci2siff5ndz4t5o > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hci2siff5ndz4t5o > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hci2siff5ndz4t5o.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hci2siff5ndz4t5o.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hci2siff5ndz4t5o.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div><style>.tatsu-hci2sifezubsan96 .tatsu-section-pad{padding: 20px 0px 20px 0px;}.tatsu-hci2sifezubsan96 .tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-hci2sifezubsan96 > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hci2sifezubsan96 > .tatsu-top-divider{z-index: 9999;}.tatsu-hci2sifezubsan96 .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div id="contact" class="tatsu-hjzloomtjgc1wzb0 tatsu-section tatsu-section-custom-height tatsu-bg-overlay tatsu-clearfix" data-title="Partner" data-headerscheme="background--dark"><div class = "tatsu-custom-height-wrap"><div class='tatsu-section-pad clearfix' data-padding='{"d":"60px 0% 60px 0%"}' data-padding-top='60px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-one-col tatsu-row-has-one-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-hjzloomtmmeby4sy" ><div class="tatsu-row " ><div class="tatsu-column tatsu-column-no-bg tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-hjzloomtpqgik1tb" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-hjzloomtrtcuihq1 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-hjzloomtrtcuihq1.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style><p style="text-transform: uppercase; color: white; font-family: Roboto; font-weight: bold; font-size: 30px; text-align: center;">GROW YOUR BRAND</p><p style="color: white; font-family: Roboto; font-weight: 200; font-size: 22px; line-height: 30px; text-align: center;">Request Information on amplifying your brand on ODSC’s Podcasts and webinars</p></div></div><div id = "" class="tatsu-code tatsu-module tatsu-hjzloomtt74rse34 " ><br /> <script charset="utf-8" type="text/javascript" src="//js.hsforms.net/forms/v2.js"></script><br /> <script> hbspt.forms.create({ portalId: "1865444", formId: "4b36f79d-3c51-4938-bd29-6b08acce3c48" }); </script></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div></div><style>.tatsu-row > .tatsu-hjzloomtpqgik1tb.tatsu-column{width: 100%;}.tatsu-hjzloomtpqgik1tb.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: none;}.tatsu-hjzloomtpqgik1tb > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hjzloomtpqgik1tb > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hjzloomtpqgik1tb > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hjzloomtpqgik1tb > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hjzloomtpqgik1tb.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hjzloomtpqgik1tb.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hjzloomtpqgik1tb.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div></div><style>.tatsu-hjzloomtjgc1wzb0.tatsu-section{background-color: rgba(0,0,0,1);}.tatsu-hjzloomtjgc1wzb0{border-width: 0px 0px px 0px;border-style: solid;}.tatsu-hjzloomtjgc1wzb0 .tatsu-section-pad{padding: 60px 0% 60px 0%;}.tatsu-hjzloomtjgc1wzb0 > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hjzloomtjgc1wzb0 > .tatsu-top-divider{z-index: 9999;}.tatsu-hjzloomtjgc1wzb0 .tatsu-section-overlay{background: rgba(0,0,0,0.1);mix-blend-mode: normal;}.tatsu-hjzloomtjgc1wzb0 .tatsu-custom-height-wrap{align-items: center;}</style></div><div class="tatsu-hmjzmvze638oo1go tatsu-section tatsu-bg-overlay tatsu-prevent-overflow tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"20px 0px 17px 0px"}' data-padding-top='20px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-one-col tatsu-row-has-one-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-hmjzmvze8rbm5tsg" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-hmjzmvzebu8zn1jc" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-hmjzmvzefa36j0ha "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-hmjzmvzefa36j0ha.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: center;color: rgba(0,0,0,1) ;}.tatsu-hmjzmvzefa36j0ha .tatsu-text-inner *{color: rgba(0,0,0,1) ;}</style><h1>COMMUNITY RESOURCES</h1></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-hmjzmvzebu8zn1jc.tatsu-column{width: 100%;}.tatsu-hmjzmvzebu8zn1jc.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-hmjzmvzebu8zn1jc > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-hmjzmvzebu8zn1jc > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hmjzmvzebu8zn1jc > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-hmjzmvzebu8zn1jc > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-hmjzmvzebu8zn1jc.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-hmjzmvzebu8zn1jc.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-hmjzmvzebu8zn1jc.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div><style>.tatsu-hmjzmvze638oo1go .tatsu-section-pad{padding: 20px 0px 17px 0px;}.tatsu-hmjzmvze638oo1go .tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-hmjzmvze638oo1go > .tatsu-bottom-divider{z-index: 9999;}.tatsu-hmjzmvze638oo1go > .tatsu-top-divider{z-index: 9999;}.tatsu-hmjzmvze638oo1go .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div class="tatsu-rJ-SDdJXZn tatsu-section tatsu-bg-overlay tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"25px 0px 30px 0px"}' data-padding-top='25px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-one-half tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HJerP_J7Z2" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-align-middle tatsu-column-image-none tatsu-column-effect-none tatsu-BkX_uy7Z3" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module align-center tatsu-image-lazyload tatsu-external-image tatsu-BkCcOyXb3 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://www.meetup.com/open-data-odsc/" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/03/meetup.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-BkCcOyXb3 .tatsu-single-image-inner{border-style: solid;max-width: 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767px) {.tatsu-row > .tatsu-BkX_uy7Z3.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-image-none tatsu-column-effect-none tatsu-SklQ_ukXWn" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-single-image tatsu-module align-center tatsu-image-lazyload tatsu-external-image tatsu-S1Y3_ymZh " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><a href = "https://hubs.li/Q02r9VZM0https://hubs.li/Q02r9VZM0 " target = "_blank" ><img class = "tatsu-gradient-border" data-src = "https://odsc.com/wp-content/uploads/2023/03/slack-community-1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></a></div><style>.tatsu-S1Y3_ymZh .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-S1Y3_ymZh.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-SklQ_ukXWn.tatsu-column{width: 50%;}.tatsu-SklQ_ukXWn.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-SklQ_ukXWn > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-SklQ_ukXWn > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-SklQ_ukXWn > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-SklQ_ukXWn > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-SklQ_ukXWn.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-SklQ_ukXWn.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-SklQ_ukXWn.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><div class="tatsu-overlay tatsu-section-overlay"></div><style>.tatsu-rJ-SDdJXZn.tatsu-section{background-color: rgba(0,0,0,1);}.tatsu-rJ-SDdJXZn .tatsu-section-pad{padding: 25px 0px 30px 0px;}.tatsu-rJ-SDdJXZn .tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-rJ-SDdJXZn > .tatsu-bottom-divider{z-index: 9999;}.tatsu-rJ-SDdJXZn > .tatsu-top-divider{z-index: 9999;}.tatsu-rJ-SDdJXZn .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div class="tatsu-BkimilGc2 tatsu-section tatsu-bg-overlay tatsu-prevent-overflow tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"20px 0px 20px 0px"}' data-padding-top='20px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-one-col tatsu-row-has-one-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-rJgjQjef5n" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-prevent-overflow tatsu-r1ZsmolGqn" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-r1zoQjefq3 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-r1zoQjefq3.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: center;color: rgba(0,0,0,1) ;}.tatsu-r1zoQjefq3 .tatsu-text-inner *{color: rgba(0,0,0,1) ;}</style><h1>NEWSLETTER</h1></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-r1ZsmolGqn.tatsu-column{width: 100%;}.tatsu-r1ZsmolGqn.tatsu-column > 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.tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-BkimilGc2 > .tatsu-bottom-divider{z-index: 9999;}.tatsu-BkimilGc2 > .tatsu-top-divider{z-index: 9999;}.tatsu-BkimilGc2 .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div class="tatsu-ByZBd4kXb2 tatsu-section tatsu-bg-overlay tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"90px 0px 90px 0px"}' data-padding-top='90px'><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-one-half tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-clearfix tatsu-HJgr_4kmZ3" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-image-none tatsu-column-effect-none tatsu-Hy_uNJQ-2" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-text-block-wrap tatsu-HJOeB1QWh "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HJOeB1QWh.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: center;padding: 67px 0px 0px 0px;color: rgba(255,255,255,1) ;}.tatsu-HJOeB1QWh .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style><h3 style="text-align: center;"><strong>Ten Industries Machine Learning and Generative AI are Disrupting</strong></h3><p style="text-align: center;"><a href="https://opendatascience.com/ten-industries-machine-learning-and-generative-ai-are-disrupting-in-2023/" target="_blank" rel="noopener">opendatascience.com</a></p></div></div></div></div><div class = "tatsu-column-bg-image-wrap"><div class = "tatsu-column-bg-image" ></div></div><div class="tatsu-overlay tatsu-column-overlay tatsu-animate-none" ></div></div><style>.tatsu-row > .tatsu-Hy_uNJQ-2.tatsu-column{width: 50%;}.tatsu-Hy_uNJQ-2.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Hy_uNJQ-2 > .tatsu-column-inner > 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