Generative AI and LLMs Certification | Open Data Science Conference

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border-bottom: 1px solid black; padding-bottom: 15px;} .awsm-personal-info .comptit, .jobpos{ text-transform: uppercase; font-size: .9em; line-height: 1.9; display: block; color: black; } .jobpos{ font-style: italic;} #page-content h3{ font-family: Roboto; font-weight: 300;} p span, .tatsu-button-wrap a{ font-family: Roboto; font-weight: 300;} h5 span, h4{font-family: Roboto!important;} h2 span, .tatsu-text-inner, p, span, strong, h1, h2, h3, h4, h5 {font-family: Roboto!important;} h3{font-weight:700!important} #page-content li{font-family: Roboto!important; } .single-post .hero-section-wrap{height:400px;} .style1-blog .article-details, .style5-blog .article-details, .style6-blog .article-details { padding: 0px 0 0!important; } .single-post .content{padding-top:40px!important;} .single-post .tagcloud{display:none!important;} .post-template-default #header-wrap{display:block!important;} .post-title a{ font: 700 55px "Source Sans Pro","Open Sans","Arial",sans-serif; 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://getaiplus.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://getaiplus.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 */ #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://staging5.odsc.com/wp-content/uploads/2018/05/DinnerDS.jpg);} .mptt-event-container.id-121,.mptt-event-container.id-64 { background-image: url(https://staging5.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://staging5.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>  <meta name="framework" content="Redux 4.1.29" />  <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_browser .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> <link rel="alternate" type="application/rss+xml" title="Podcast RSS feed" href="https://aiplus.training/feed/podcast" /> <script type='text/javascript'> var video_popup_unprm_general_settings = { 'unprm_r_border': '' }; </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); -o-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); 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); } body.header-transparent.semi #header .semi-transparent{ background-color: rgb(255,255,255);background-color: rgba(255,255,255,1); !important ; } #content, #blog-content { background-color: rgb(255,255,255);background-color: rgba(255,255,255,1);} #bottom-widgets { background-color: rgb(242,243,248);background-color: rgba(242,243,248,1);} #footer { background-color: rgb(50,56,64);background-color: rgba(50,56,64,1);} #footer .footer-border{ border-bottom: 2px solid #eaeaea; } .page-title-module-custom { background-color: rgb(242,243,248);background-color: rgba(242,243,248,1);} #portfolio-title-nav-wrap{ background-color : #ededed; } #navigation .sub-menu, #navigation .children, #navigation-left-side .sub-menu, #navigation-left-side .children, #navigation-right-side .sub-menu, #navigation-right-side .children { background-color: rgb(31,31,31);background-color: rgba(31,31,31,1);} .sb-slidebar.sb-right { background-color: rgb(26,26,26);background-color: rgba(26,26,26,1);} .left-header .left-strip-wrapper, .left-header #left-header-mobile { background-color : #323840 ; } .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%; } } .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-left-side .current-menu-item > a, #navigation-right-side .current-menu-item > 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 !important; 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, .menu-card-item-stared { color: #00bcdd; } a.custom-like-button.no-liked{ color: rgba(255,255,255,0.5); } a.custom-like-button.liked{ color: rgba(255,255,255,1); } .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 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class="wpex-spinner"> <div class="rect1"></div><div class="rect2"></div> <div class="rect3"></div><div class="rect4"></div> <div class="rect5"></div> </div> </div> <div class="extl-info-start wpex-tltitle wpex-loadmore"> <span>BEGIN</span> </div> <ul class="infogr-list "> <li class="filter-8726_61685 exif-li extllightbox exlb-8726 post-61685 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61685" href="https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-616858726"> <div class="lb-image"> <img decoding="async" width="150" height="83" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small-90x50.png 90w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small-50x28.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">Introduction to Large Language Models</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 1</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" rel="nofollow" onclick="window.open('https://www.facebook.com/sharer/sharer.php?u='+'https%3A%2F%2Faiplus.training%2Ftimeline%2Fhow-deep-learning-works','facebook-share-dialog','width=626,height=436');return false;"><i class="fa fa-facebook"></i>Share on Facebook </a> </span> <span class="twitter"> <a class="trasition-all" href="#" title="Share on Twitter" rel="nofollow" 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onclick="window.open('//vkontakte.ru/share.php?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fhow-deep-learning-works','vk-share-dialog','width=626,height=436');return false;"><i class="fa fa-vk"></i> Share on VK </a> </span> <span class="email"> <a class="trasition-all" href="mailto:?subject=Introduction+to+Large+Language+Models&body=https%3A%2F%2Faiplus.training%2Ftimeline%2Fhow-deep-learning-works" title="Email this"><i class="fa fa-envelope"></i> Email this </a> </span> </div> </div> <div class="exp-lightbox-meta"></div> <p><h2>Introduction to Large Language Models</h2> <p><span style="font-weight: 400;">This hands-on course serves as a comprehensive introduction to Large Language Models (LLMs), covering a spectrum of topics from their differentiation from other language models to their underlying architecture and practical applications. It delves into the technical aspects, such as the transformer architecture and the attention mechanism, which are the cornerstones of modern language models. The course also explores the applications of LLMs, focusing on zero-shot learning, few-shot learning, and fine-tuning, which showcase the models’ ability to adapt and perform tasks with limited to no examples. Furthermore, it introduces the concept of flow chaining as a method to generate coherent and extended text, demonstrating its usefulness in tackling token limitations in real-world scenarios such as Q&A bots. Through practical examples and code snippets, participants are given a hands-on experience on how to utilize and harness the power of LLMs across various domains.</span></p> <p> </p> <p><span style="font-weight: 400;"> By utilizing the code notebooks included in this course, participants can code alongside the code instructor to ensure hands-on practice experience in LLMs </span></p> <p><b>Topics Covered:</b></p> <ul> <li><span style="font-weight: 400;">Introduction</span> <span style="font-weight: 400;"> </span></li> <li><span style="font-weight: 400;">Why Are LLMs So Powerful </span></li> <li><span style="font-weight: 400;">The Transformer Architecture</span></li> <li><span style="font-weight: 400;">The Application of LLMs</span></li> <li><span style="font-weight: 400;">Flow Chaining </span></li> </ul> <p><b>Workshop Assets</b></p> <p><span style="font-weight: 400;">This course consists of an on-demand recording, course notebook, and course exercises </span></p> <p><span style="font-weight: 400;">Before accessing the course code notebooks it is advisable to review the course prerequisites.</span></p> </p> </div> <style type="text/css"> #extl-lb-616858726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Introduction to Large Language Models" class="tlif-img-link"> <img decoding="async" width="150" height="83" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small-90x50.png 90w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms_small-50x28.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 1 </span> <a href="javascript:;" title="Introduction to Large Language Models">Introduction to Large Language Models</a> </h2> <div class="tpif-des"> You’ll develop a working understanding of how deep learning works over two modules. In Module 1 you will get key insights into 'The Unreasonable Effectiveness of Deep Learning'. In module 2 you will learn Essential Neural Network Theory </div> <div class="tlif-readmore"> <a href="javascript:;" title="Introduction to Large Language Models"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61685 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61685 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61685 .tlif-img span.tlif-icon, #timeline-8726 li.post-61685 .tlif-readmore a, #timeline-8726 li.post-61685 .tlif-media, #timeline-8726 li.post-61685 .extlif-felname span, #timeline-8726 li.post-61685 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61686 exif-li extllightbox exlb-8726 post-61686 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61686" href="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-616868726"> <div class="lb-image"> <img decoding="async" width="150" height="99" src="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-76x50.png 76w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">Prompt Engineering Fundamentals</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 2</span> <div 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onclick="window.open('//pinterest.com/pin/create/button/?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fclass-2-building-and-training-a-deep-learning-network-2&media=https%3A%2F%2Faiplus.training%2Fwp-content%2Fuploads%2F2023%2F11%2Fprompt-engineering-_small.png&description=Prompt+Engineering+Fundamentals','pin-share-dialog','width=626,height=436');return false;"><i class="fa fa-pinterest"></i> Pin this </a> </span> <span class="vk"> <a class="trasition-all" href="#" title="Share on VK" rel="nofollow" target="_blank" onclick="window.open('//vkontakte.ru/share.php?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fclass-2-building-and-training-a-deep-learning-network-2','vk-share-dialog','width=626,height=436');return false;"><i class="fa fa-vk"></i> Share on VK </a> </span> <span class="email"> <a class="trasition-all" href="mailto:?subject=Prompt+Engineering+Fundamentals&body=https%3A%2F%2Faiplus.training%2Ftimeline%2Fclass-2-building-and-training-a-deep-learning-network-2" title="Email this"><i class="fa fa-envelope"></i> Email this </a> </span> </div> </div> <div class="exp-lightbox-meta"></div> <p><h2>Prompt Engineering Fundamentals</h2> <p><span style="font-weight: 400;">This workshop on Prompt Engineering explores the pivotal role of prompts in guiding Large Language Models (LLMs) like ChatGPT to generate desired responses. It emphasizes how prompts provide context, control output style and tone, aid in precise information retrieval, offer task-specific guidance, and ensure ethical AI usage. Through practical examples, participants learn how varying prompts can yield diverse responses, highlighting the importance of well-crafted prompts in achieving relevant and accurate text generation.</span></p> <p><span style="font-weight: 400;">Additionally, the workshop introduces temperature control to balance creativity and coherence in model outputs, and showcases LangChain, a Python library, to simplify prompt construction. Participants are equipped with practical tools and techniques to harness the potential of prompt engineering effectively, enhancing their interaction with LLMs across various contexts and tasks.</span></p> <p><b>Workshop Topics</b></p> <p><span style="font-weight: 400;">00:03</span> <span style="font-weight: 400;">Introduction to Prompt Engineering </span></p> <p><span style="font-weight: 400;">08:02</span> <span style="font-weight: 400;">Prompt Tuning as a Mechanism for Fine Tuning</span> <span style="font-weight: 400;"> </span></p> <p><span style="font-weight: 400;">10:01</span> <span style="font-weight: 400;">Guardrails for Prompt Responses</span> <span style="font-weight: 400;"> </span></p> <p><span style="font-weight: 400;">11:47</span> <span style="font-weight: 400;">Temperature as a Means for Model Control </span></p> <p><span style="font-weight: 400;">14:33</span> <span style="font-weight: 400;">Memorization</span></p> <p><span style="font-weight: 400;">15:52 Tool For Prompt Engineering</span></p> <p> </p> <p><b>Workshop Assets</b></p> <p><span style="font-weight: 400;">This course consists of an on-demand recording, course notebook, and course exercises </span></p> <p><span style="font-weight: 400;">Before accessing the course code notebooks it is advisable to review the course prerequisites.</span></p> </p> </div> <style type="text/css"> #extl-lb-616868726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Prompt Engineering Fundamentals" class="tlif-img-link"> <img decoding="async" width="150" height="99" src="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-76x50.png 76w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 2 </span> <a href="javascript:;" title="Prompt Engineering Fundamentals">Prompt Engineering Fundamentals</a> </h2> <div class="tpif-des"> Prompt Engineering Fundamentals This workshop on Prompt Engineering explores the pivotal role of prompts in guiding Large Language Models (LLMs) like ChatGPT to generate desired responses. It emphasizes how prompts […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Prompt Engineering Fundamentals"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61686 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61686 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61686 .tlif-img span.tlif-icon, #timeline-8726 li.post-61686 .tlif-readmore a, #timeline-8726 li.post-61686 .tlif-media, #timeline-8726 li.post-61686 .extlif-felname span, #timeline-8726 li.post-61686 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61698 exif-li extllightbox exlb-8726 post-61698 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61698" href="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-616988726"> <div class="lb-image"> <img decoding="async" width="150" height="99" src="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-76x50.png 76w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">Prompt Engineering with OpenAI</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 3</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" rel="nofollow" onclick="window.open('https://www.facebook.com/sharer/sharer.php?u='+'https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai','facebook-share-dialog','width=626,height=436');return false;"><i class="fa fa-facebook"></i>Share on Facebook </a> </span> <span class="twitter"> <a class="trasition-all" href="#" title="Share on Twitter" rel="nofollow" target="_blank" onclick="window.open('http://twitter.com/share?text=Prompt+Engineering+with+OpenAI&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai','twitter-share-dialog','width=626,height=436');return false;"><i class="fa fa-twitter"></i> Share on Twitter </a> </span> <span class="linkedin"> <a class="trasition-all" href="#" title="Share on LinkedIn" rel="nofollow" target="_blank" onclick="window.open('http://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai&title=Prompt+Engineering+with+OpenAI&source=Open+Data+Science+Conference','linkedin-share-dialog','width=626,height=436');return false;"><i class="fa fa-linkedin"></i> Share on LinkedIn </a> </span> <span class="tumblr"> <a class="trasition-all" href="#" title="Share on Tumblr" rel="nofollow" target="_blank" onclick="window.open('http://www.tumblr.com/share/link?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai&name=Prompt+Engineering+with+OpenAI','tumblr-share-dialog','width=626,height=436');return false;"><i class="fa fa-tumblr"></i> Share on Tumblr </a> </span> <span class="pinterest"> <a class="trasition-all" href="#" title="Pin this" rel="nofollow" target="_blank" onclick="window.open('//pinterest.com/pin/create/button/?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai&media=https%3A%2F%2Faiplus.training%2Fwp-content%2Fuploads%2F2023%2F11%2Fprompt-engineering-_small.png&description=Prompt+Engineering+with+OpenAI','pin-share-dialog','width=626,height=436');return false;"><i class="fa fa-pinterest"></i> Pin this </a> </span> <span class="vk"> <a class="trasition-all" href="#" title="Share on VK" rel="nofollow" target="_blank" onclick="window.open('//vkontakte.ru/share.php?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai','vk-share-dialog','width=626,height=436');return false;"><i class="fa fa-vk"></i> Share on VK </a> </span> <span class="email"> <a class="trasition-all" href="mailto:?subject=Prompt+Engineering+with+OpenAI&body=https%3A%2F%2Faiplus.training%2Ftimeline%2Fprompt-engineering-with-openai" title="Email this"><i class="fa fa-envelope"></i> Email this </a> </span> </div> </div> <div class="exp-lightbox-meta"></div> <p><h2 class="Typography_h4__5" data-qa="accordion-title">Prompt Engineering with OpenAI</h2> <p> </p> <p><span style="font-weight: 400;">This workshop on prompt engineering with OpenAI discussed best practices for utilizing OpenAI models. We will review how to separate instructions and context using special characters to help improve instruction clarity, context isolation, and enhances control over the generation process. The workshop also included code for installing the langchain library and demonstrated how to create prompts effectively, emphasizing the importance of clarity, specificity, and precision in prompts. Additionally, the workshop showed how to craft prompts for specific tasks, such as extracting entities from text. It provided templates for prompts and highlighted the significance of specifying the desired output format through examples for improved consistency and customization.</span></p> <p> </p> <p><span style="font-weight: 400;">Lastly, the workshop addressed the importance of using prompts as safety guardrails. It introduced prompts to mitigate hallucination and jailbreaking risks by instructing the model to generate well-supported and verifiable information, thereby promoting responsible and ethical use of language models.</span></p> <p><b>Workshop Video Timeline</b></p> <p><span style="font-weight: 400;">00:03</span> <span style="font-weight: 400;">Best Practices for Prompting OpenAI</span></p> <p><span style="font-weight: 400;">10:38</span> <span style="font-weight: 400;">Prompting Safety Guardrails</span></p> <p> </p> </p> </div> <style type="text/css"> #extl-lb-616988726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Prompt Engineering with OpenAI" class="tlif-img-link"> <img decoding="async" width="150" height="99" src="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-76x50.png 76w, https://aiplus.training/wp-content/uploads/2023/11/prompt-engineering-_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 3 </span> <a href="javascript:;" title="Prompt Engineering with OpenAI">Prompt Engineering with OpenAI</a> </h2> <div class="tpif-des"> Prompt Engineering with OpenAI   This workshop on prompt engineering with OpenAI discussed best practices for utilizing OpenAI models. We will review how to separate instructions and context using special […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Prompt Engineering with OpenAI"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61698 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61698 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61698 .tlif-img span.tlif-icon, #timeline-8726 li.post-61698 .tlif-readmore a, #timeline-8726 li.post-61698 .tlif-media, #timeline-8726 li.post-61698 .extlif-felname span, #timeline-8726 li.post-61698 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61699 exif-li extllightbox exlb-8726 post-61699 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61699" 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</div> </div> <div class="exp-lightbox-meta"></div> <p><h3>Build a Question & Answering Bot</h3> <p><span style="font-weight: 400;">The workshop notebook delves into building a Question and Answering Bot based on a fixed knowledge base, covering the integration of concepts discussed in earlier notebooks about LLMs (Large Language Models) and prompting. Initially, it introduces a high-level architecture focusing on vector search—a method to retrieve similar items based on vector representations. The notebook explains the steps involved in vector search including vector representation, indexing, querying, similarity measurement, and retrieval, detailing various technologies used for vector search such as vector libraries, vector databases, and vector plugins. The example utilizes an Open Source vector database, Chroma, to index data and uses state-of-the-union text data for the exercise.</span></p> <p> </p> <p><span style="font-weight: 400;">The notebook then transitions into the practical implementation, illustrating how text data is loaded, chunked into smaller pieces for effective vector search, and mapped into numeric vectors using the MPNetModel from the SentenceTransformer library via HuggingFace. Following this, the focus shifts to text generation where Langchain Chains are introduced. Chains, as described, allow for more complex applications by chaining several steps and models together into pipelines. A RetrievalQA chain is used to build a Q&A Bot application which utilizes an OpenAI chat model for text generation. </span></p> <p><b>Workshop Video Timeline</b></p> <p><span style="font-weight: 400;">00:03</span> <span style="font-weight: 400;">Building a Q&A Bot</span></p> <p><span style="font-weight: 400;">05:13</span> <span style="font-weight: 400;">Vector Search Technologies</span></p> <p><span style="font-weight: 400;">11:48</span> <span style="font-weight: 400;">LangChain Chains</span></p> <p><b>Workshop Assets</b></p> <p><span style="font-weight: 400;">This course consists of an on-demand recording, course notebook, and course exercises ( )</span></p> <p><span style="font-weight: 400;">Before accessing the course code notebooks it is advisable to review the course prerequisites here.</span></p> <p> </p> </p> </div> <style type="text/css"> #extl-lb-616998726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Build a Question & Answering Bot" class="tlif-img-link"> <img decoding="async" width="150" height="100" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_QUESTIONS-ANSWERING_small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_QUESTIONS-ANSWERING_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_QUESTIONS-ANSWERING_small-75x50.png 75w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_QUESTIONS-ANSWERING_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 4 </span> <a href="javascript:;" title="Build a Question & Answering Bot">Build a Question & Answering Bot</a> </h2> <div class="tpif-des"> Build a Question & Answering Bot The workshop notebook delves into building a Question and Answering Bot based on a fixed knowledge base, covering the integration of concepts discussed in […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Build a Question & Answering Bot"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61699 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61699 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61699 .tlif-img span.tlif-icon, #timeline-8726 li.post-61699 .tlif-readmore a, #timeline-8726 li.post-61699 .tlif-media, #timeline-8726 li.post-61699 .extlif-felname span, #timeline-8726 li.post-61699 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61700 exif-li extllightbox exlb-8726 post-61700 wp-timeline 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class="lb-title">Fine Tuning Embedding Models</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 5</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" rel="nofollow" onclick="window.open('https://www.facebook.com/sharer/sharer.php?u='+'https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-part-i-embedding-models','facebook-share-dialog','width=626,height=436');return false;"><i class="fa fa-facebook"></i>Share on Facebook </a> </span> <span class="twitter"> <a class="trasition-all" href="#" title="Share on Twitter" rel="nofollow" target="_blank" onclick="window.open('http://twitter.com/share?text=Fine+Tuning+Embedding+Models&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-part-i-embedding-models','twitter-share-dialog','width=626,height=436');return false;"><i class="fa fa-twitter"></i> Share on Twitter </a> </span> <span class="linkedin"> <a 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</div> </div> <div class="exp-lightbox-meta"></div> <p><p>Fine Tuning Part I: Embedding Models</p> <p>This workshop explores the importance of fine-tuning Language and Embedding Models (LLMs). It highlights how embedding models are used to map natural language to vectors, crucial for pipelines with multiple models to adapt to specific data nuances. An example demonstrates fine-tuning an embedding model for legal text. The notebook discusses existing solutions and hardware considerations, emphasizing GPU usage for large data.</p> <p>The practical part of the notebook shows the fine-tuning process of the “distilroberta-base” model from the SentenceTransformer library. It utilizes the QQP_triplets dataset from Quora for training, designed around semantic meaning. The notebook prepares the data, sets up a DataLoader, and employs Triplet Loss to encourage the model to map similar data points closely while distancing dissimilar ones. It concludes by mentioning the training duration and resources needed for further improvements.</p> <p>Workshop Video</p> <p>Fine Tuning Embedding Models</p> <p>Workshop Assets</p> <p>This course consists of an on-demand recording, course notebook, and course exercises</p> <p>Before accessing the course code notebooks it is advisable to review the course prerequisites here.</p> </p> </div> <style type="text/css"> #extl-lb-617008726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Fine Tuning Embedding Models" class="tlif-img-link"> <img decoding="async" width="150" height="100" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small-75x50.png 75w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 5 </span> <a href="javascript:;" title="Fine Tuning Embedding Models">Fine Tuning Embedding Models</a> </h2> <div class="tpif-des"> Fine Tuning Part I: Embedding Models This workshop explores the importance of fine-tuning Language and Embedding Models (LLMs). It highlights how embedding models are used to map natural language to […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Fine Tuning Embedding Models"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61700 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61700 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61700 .tlif-img span.tlif-icon, #timeline-8726 li.post-61700 .tlif-readmore a, #timeline-8726 li.post-61700 .tlif-media, #timeline-8726 li.post-61700 .extlif-felname span, #timeline-8726 li.post-61700 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61702 exif-li extllightbox exlb-8726 post-61702 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61702" href="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-617028726"> <div class="lb-image"> <img decoding="async" width="150" height="100" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small-75x50.png 75w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">Fine Tuning an Existing LLM</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 6</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" rel="nofollow" onclick="window.open('https://www.facebook.com/sharer/sharer.php?u='+'https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm','facebook-share-dialog','width=626,height=436');return false;"><i class="fa fa-facebook"></i>Share on Facebook </a> </span> <span class="twitter"> <a class="trasition-all" href="#" title="Share on Twitter" rel="nofollow" target="_blank" onclick="window.open('http://twitter.com/share?text=Fine+Tuning+an+Existing+LLM&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm','twitter-share-dialog','width=626,height=436');return false;"><i class="fa fa-twitter"></i> Share on Twitter </a> </span> <span class="linkedin"> <a class="trasition-all" href="#" title="Share on LinkedIn" rel="nofollow" target="_blank" onclick="window.open('http://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm&title=Fine+Tuning+an+Existing+LLM&source=Open+Data+Science+Conference','linkedin-share-dialog','width=626,height=436');return false;"><i class="fa fa-linkedin"></i> Share on LinkedIn </a> </span> <span class="tumblr"> <a class="trasition-all" href="#" title="Share on Tumblr" rel="nofollow" target="_blank" onclick="window.open('http://www.tumblr.com/share/link?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm&name=Fine+Tuning+an+Existing+LLM','tumblr-share-dialog','width=626,height=436');return false;"><i class="fa fa-tumblr"></i> Share on Tumblr </a> </span> <span class="pinterest"> <a class="trasition-all" href="#" title="Pin this" rel="nofollow" target="_blank" onclick="window.open('//pinterest.com/pin/create/button/?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm&media=https%3A%2F%2Faiplus.training%2Fwp-content%2Fuploads%2F2023%2F11%2Fai-track_FINE-TUNING-small.png&description=Fine+Tuning+an+Existing+LLM','pin-share-dialog','width=626,height=436');return false;"><i class="fa fa-pinterest"></i> Pin this </a> </span> <span class="vk"> <a class="trasition-all" href="#" title="Share on VK" rel="nofollow" target="_blank" onclick="window.open('//vkontakte.ru/share.php?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm','vk-share-dialog','width=626,height=436');return false;"><i class="fa fa-vk"></i> Share on VK </a> </span> <span class="email"> <a class="trasition-all" href="mailto:?subject=Fine+Tuning+an+Existing+LLM&body=https%3A%2F%2Faiplus.training%2Ftimeline%2Ffine-tuning-an-existing-llm" title="Email this"><i class="fa fa-envelope"></i> Email this </a> </span> </div> </div> <div class="exp-lightbox-meta"></div> <p><h3> Fine Tuning an Existing LLM</h3> <p>The workshop explores the process of fine-tuning Large Language Models (LLMs) for Natural Language Processing (NLP) tasks. It highlights the motivations for fine-tuning, such as task adaptation, transfer learning, and handling low-data scenarios, using a Yelp Review dataset. The notebook employs the HuggingFace Transformers library, including tokenization with AutoTokenizer, data subset selection, and model choice (BERT-based model). Hyperparameter tuning, evaluation strategy, and metrics are introduced. It also briefly mentions DeepSpeed for optimization and Parameter Efficient Fine-Tuning (PEFT) for resource-efficient fine-tuning, providing a comprehensive introduction to fine-tuning LLMs for NLP tasks.</p> <p><b>Workshop Video</b></p> <p><span style="font-weight: 400;">Fine Tuning a Large Language Model</span></p> <p><b>Workshop Assets</b></p> <p><span style="font-weight: 400;">This course consists of an on-demand recording, course notebook, and course exercises ( )</span></p> <p><span style="font-weight: 400;">Before accessing the course code notebooks it is advisable to review the course prerequisites here.</span></p> <p> </p> </p> </div> <style type="text/css"> #extl-lb-617028726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Fine Tuning an Existing LLM" class="tlif-img-link"> <img decoding="async" width="150" height="100" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small-75x50.png 75w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 6 </span> <a href="javascript:;" title="Fine Tuning an Existing LLM">Fine Tuning an Existing LLM</a> </h2> <div class="tpif-des"> Fine Tuning an Existing LLM The workshop explores the process of fine-tuning Large Language Models (LLMs) for Natural Language Processing (NLP) tasks. It highlights the motivations for fine-tuning, such as […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Fine Tuning an Existing LLM"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61702 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61702 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61702 .tlif-img span.tlif-icon, #timeline-8726 li.post-61702 .tlif-readmore a, #timeline-8726 li.post-61702 .tlif-media, #timeline-8726 li.post-61702 .extlif-felname span, #timeline-8726 li.post-61702 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61704 exif-li extllightbox exlb-8726 post-61704 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61704" href="https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-617048726"> <div class="lb-image"> <img decoding="async" width="150" height="83" src="https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small-90x50.png 90w, https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small-50x28.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">LangChain Agents</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 7</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" rel="nofollow" onclick="window.open('https://www.facebook.com/sharer/sharer.php?u='+'https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents','facebook-share-dialog','width=626,height=436');return false;"><i class="fa fa-facebook"></i>Share on Facebook </a> </span> <span class="twitter"> <a class="trasition-all" href="#" title="Share on Twitter" rel="nofollow" target="_blank" onclick="window.open('http://twitter.com/share?text=LangChain+Agents&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents','twitter-share-dialog','width=626,height=436');return false;"><i class="fa fa-twitter"></i> Share on Twitter </a> </span> <span class="linkedin"> <a class="trasition-all" href="#" title="Share on LinkedIn" rel="nofollow" target="_blank" onclick="window.open('http://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents&title=LangChain+Agents&source=Open+Data+Science+Conference','linkedin-share-dialog','width=626,height=436');return false;"><i class="fa fa-linkedin"></i> Share on LinkedIn </a> </span> <span class="tumblr"> <a class="trasition-all" href="#" title="Share on Tumblr" rel="nofollow" target="_blank" onclick="window.open('http://www.tumblr.com/share/link?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents&name=LangChain+Agents','tumblr-share-dialog','width=626,height=436');return false;"><i class="fa fa-tumblr"></i> Share on Tumblr </a> </span> <span class="pinterest"> <a class="trasition-all" href="#" title="Pin this" rel="nofollow" target="_blank" onclick="window.open('//pinterest.com/pin/create/button/?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents&media=https%3A%2F%2Faiplus.training%2Fwp-content%2Fuploads%2F2023%2F11%2FAI-LCAGENTS-small.png&description=LangChain+Agents','pin-share-dialog','width=626,height=436');return false;"><i class="fa fa-pinterest"></i> Pin this </a> </span> <span class="vk"> <a class="trasition-all" href="#" title="Share on VK" rel="nofollow" target="_blank" onclick="window.open('//vkontakte.ru/share.php?url=https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents','vk-share-dialog','width=626,height=436');return false;"><i class="fa fa-vk"></i> Share on VK </a> </span> <span class="email"> <a class="trasition-all" href="mailto:?subject=LangChain+Agents&body=https%3A%2F%2Faiplus.training%2Ftimeline%2Flangchain-agents" title="Email this"><i class="fa fa-envelope"></i> Email this </a> </span> </div> </div> <div class="exp-lightbox-meta"></div> <p><h3 class="Typography_h3__4 custom-title-bar__title_Hh7_A" data-qa="lesson-title">LangChain Agents</h3> <p>The “LangChain Agents” workshop delves into the “Agents” component of the LangChain library, offering a deeper understanding of how LangChain integrates Large Language Models (LLMs) with external systems and tools to execute actions. This workshop builds on the concept of “chains,” which can link multiple LLMs to tackle various tasks like classification, text generation, code generation, and more. “Agents” enable LLMs to interact with external systems and tools, making informed decisions based on available options. The workshop explores the different types of agents, such as “Zero-shot ReAct,” “Structured input ReAct,” “OpenAI Functions,” “Conversational,” “Self ask with search,” “ReAct document store,” and “Plan-and-execute agents.” It provides practical code examples, including initializing LLMs, defining tools, creating agents, and demonstrates how these agents can answer questions using external APIs, offering participants a comprehensive overview of LangChain’s agent capabilities.</p> <p> </p> </p> </div> <style type="text/css"> #extl-lb-617048726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="LangChain Agents" class="tlif-img-link"> <img decoding="async" width="150" height="83" src="https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small-90x50.png 90w, https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS-small-50x28.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 7 </span> <a href="javascript:;" title="LangChain Agents">LangChain Agents</a> </h2> <div class="tpif-des"> LangChain Agents The “LangChain Agents” workshop delves into the “Agents” component of the LangChain library, offering a deeper understanding of how LangChain integrates Large Language Models (LLMs) with external systems […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="LangChain Agents"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61704 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61704 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61704 .tlif-img span.tlif-icon, #timeline-8726 li.post-61704 .tlif-readmore a, #timeline-8726 li.post-61704 .tlif-media, #timeline-8726 li.post-61704 .extlif-felname span, #timeline-8726 li.post-61704 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61705 exif-li extllightbox exlb-8726 post-61705 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61705" href="https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-617058726"> <div class="lb-image"> <img decoding="async" width="150" height="99" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small-76x50.png 76w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">Parameter Efficient Fine tuning</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 8</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" rel="nofollow" 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</div> </div> <div class="exp-lightbox-meta"></div> <p><h3 class="Typography_h3__4 custom-title-bar__title_Hh7_A" data-qa="lesson-title">Parameter Efficient: Fine-tuning</h3> <div class="flex-1 overflow-hidden"> <div class="react-scroll-to-bottom--css-gwnsi-79elbk h-full"> <div class="react-scroll-to-bottom--css-gwnsi-1n7m0yu"> <div class="flex flex-col text-sm gizmo:pb-9 dark:bg-gray-800 gizmo:dark:bg-transparent"> <div class="w-full text-token-text-primary border-b border-black/10 gizmo:border-0 dark:border-gray-900/50 gizmo:dark:border-0 bg-gray-50 gizmo:bg-transparent dark:bg-[#444654] gizmo:dark:bg-transparent" data-testid="conversation-turn-26"> <div class="p-4 gizmo:py-2 justify-center text-base md:gap-6 md:py-6 m-auto"> <div class="flex flex-1 gap-4 text-base mx-auto md:gap-6 gizmo:gap-3 gizmo:md:px-5 gizmo:lg:px-1 gizmo:xl:px-5 md:max-w-2xl lg:max-w-[38rem] gizmo:md:max-w-3xl gizmo:lg:max-w-[40rem] gizmo:xl:max-w-[48rem] xl:max-w-3xl } group final-completion"> <div class="relative flex w-[calc(100%-50px)] flex-col gizmo:w-full lg:w-[calc(100%-115px)] agent-turn"> <div class="flex-col gap-1 md:gap-3"> <div class="flex flex-grow flex-col max-w-full gap-3 gizmo:gap-0"> <div class="min-h-[20px] text-message peer flex flex-col items-start gap-3 whitespace-pre-wrap break-words peer-[.text-message]:mt-5 overflow-x-auto" data-message-author-role="assistant" data-message-id="e7f5ac4c-8ef0-4e6b-bd48-cde58858dcf1"> <div class="markdown prose w-full break-words dark:prose-invert light"> <p>For the next workshop, our focus will be on parameter-efficient fine-tuning (PEFT) techniques in the field of machine learning, specifically within the context of large neural language models like GPT or BERT. PEFT is a powerful approach that allows us to adapt these pre-trained models to specific tasks while minimizing additional parameter overhead. Instead of fine-tuning the entire massive model, PEFT introduces compact, task-specific parameters known as “adapters” into the pre-trained model’s architecture. These adapters enable the model to adapt to new tasks without significantly increasing its size. PEFT strikes a balance between model size and adaptability, making it a crucial technique for real-world applications where computational and memory resources are limited, while still maintaining competitive performance. In this workshop, we will delve into the different PEFT methods, such as additive, selective, re-parameterization, adapter-based, and soft prompt-based approaches, exploring their characteristics, benefits, and practical applications. We will also demonstrate how to implement PEFT using the Hugging Face PEFT library, showcasing its effectiveness in adapting large pre-trained language models to specific tasks. Join us to discover how PEFT can make state-of-the-art language models more accessible and practical for a wide range of natural language processing tasks.”</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <p><b>Workshop Assets</b></p> <p><span style="font-weight: 400;">This course consists of an on-demand recording, course notebook, and course exercises </span></p> <p><span style="font-weight: 400;">Before accessing the course code notebooks it is advisable to review the course prerequisites.</span></p> </p> </div> <style type="text/css"> #extl-lb-617058726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Parameter Efficient Fine tuning" class="tlif-img-link"> <img decoding="async" width="150" height="99" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small-76x50.png 76w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 8 </span> <a href="javascript:;" title="Parameter Efficient Fine tuning">Parameter Efficient Fine tuning</a> </h2> <div class="tpif-des"> Parameter Efficient: Fine-tuning For the next workshop, our focus will be on parameter-efficient fine-tuning (PEFT) techniques in the field of machine learning, specifically within the context of large neural language […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Parameter Efficient Fine tuning"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61705 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61705 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61705 .tlif-img span.tlif-icon, #timeline-8726 li.post-61705 .tlif-readmore a, #timeline-8726 li.post-61705 .tlif-media, #timeline-8726 li.post-61705 .extlif-felname span, #timeline-8726 li.post-61705 .tlif-img a{border-color:#fe8900;} </style> </li><li class="filter-8726_61708 exif-li extllightbox exlb-8726 post-61708 wp-timeline type-wp-timeline status-publish has-post-thumbnail hentry wpex_category-genai-llms" data-id="filter-8726_61708" href="https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small.png" data-glightbox="descPosition: right;" data-class="exlb-8726"> <div class=" tl-ani"> <div class="glightbox-desc" style="display: none;" data-close-outsite="1"> <div class="extl-lightbox-info" id="extl-lb-617088726"> <div class="lb-image"> <img decoding="async" width="150" height="100" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small.png" class="attachment-full size-full wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small-75x50.png 75w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </div> <div class="lb-info"> <h3 class="lb-title">Retrieval-Augmented Generation (RAG)</h3> <span><i class="fa fa-calendar"></i>WORKSHOP 9</span> <div class="wpex-social-share"> <div class="wptl-social-share"> <span class="facebook"> <a class="trasition-all" title="Share on Facebook" href="#" target="_blank" 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</span> </div> </div> <div class="exp-lightbox-meta"></div> <p><h3 class="Typography_h3__4 custom-title-bar__title_Hh7_A" data-qa="lesson-title"><strong>Retrieval-Augmented Generation (RAG)</strong></h3> <div class="flex-1 overflow-hidden"> <div class="react-scroll-to-bottom--css-gwnsi-79elbk h-full"> <div class="react-scroll-to-bottom--css-gwnsi-1n7m0yu"> <div class="flex flex-col text-sm gizmo:pb-9 dark:bg-gray-800 gizmo:dark:bg-transparent"> <div class="w-full text-token-text-primary border-b border-black/10 gizmo:border-0 dark:border-gray-900/50 gizmo:dark:border-0 bg-gray-50 gizmo:bg-transparent dark:bg-[#444654] gizmo:dark:bg-transparent" data-testid="conversation-turn-26"> <div class="p-4 gizmo:py-2 justify-center text-base md:gap-6 md:py-6 m-auto"> <div class="flex flex-1 gap-4 text-base mx-auto md:gap-6 gizmo:gap-3 gizmo:md:px-5 gizmo:lg:px-1 gizmo:xl:px-5 md:max-w-2xl lg:max-w-[38rem] gizmo:md:max-w-3xl gizmo:lg:max-w-[40rem] gizmo:xl:max-w-[48rem] xl:max-w-3xl } group final-completion"> <div class="relative flex w-[calc(100%-50px)] flex-col gizmo:w-full lg:w-[calc(100%-115px)] agent-turn"> <div class="flex-col gap-1 md:gap-3"> <div class="flex flex-grow flex-col max-w-full gap-3 gizmo:gap-0"> <div class="min-h-[20px] text-message peer flex flex-col items-start gap-3 whitespace-pre-wrap break-words peer-[.text-message]:mt-5 overflow-x-auto" data-message-author-role="assistant" data-message-id="e7f5ac4c-8ef0-4e6b-bd48-cde58858dcf1"> <div class="markdown prose w-full break-words dark:prose-invert light"> <p>Retrieval-Augmented Generation (RAG) is a powerful natural language processing (NLP) architecture introduced in this workshop notebook. RAG combines retrieval and generation models, enhancing language understanding and generation tasks. It consists of a retrieval component, which efficiently searches vast text databases for relevant information, and a generation component, often based on Transformer models, capable of producing coherent responses based on retrieved context. RAG’s versatility extends to various NLP applications, including question answering and text summarization. Additionally, this notebook covers practical aspects such as indexing content, configuring RAG chains, and incorporating prompt engineering, offering a comprehensive introduction to harnessing RAG’s capabilities for NLP tasks.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <p><b>Workshop Assets</b></p> <p><span style="font-weight: 400;">This course consists of an on-demand recording, course notebook, and course exercises </span></p> <p><span style="font-weight: 400;">Before accessing the course code notebooks it is advisable to review the course prerequisites.</span></p> </p> </div> <style type="text/css"> #extl-lb-617088726 .lb-info h3.lb-title:after{ border-color: #fe8900 } </style> </div> </div> <div class="tlif-contai"> <div class="tlif-img "> <div class="tlef-date"> </div> <a href="javascript:;" title="Retrieval-Augmented Generation (RAG)" class="tlif-img-link"> <img decoding="async" width="150" height="100" src="https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small.png" class="attachment-wptl-320x220 size-wptl-320x220 wp-post-image" alt="" srcset="https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small.png 150w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small-75x50.png 75w, https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG_small-50x33.png 50w" sizes="(max-width: 150px) 100vw, 150px" /> </a> <span class="tlif-icon"> <i class="fa fa-square no-icon"></i> </span> </div> <div class="tlif-content"> <div class="tlif-details"> <div class="tlif-info"> <h2 class="tlif-title"> <span class="tll-date"> WORKSHOP 9 </span> <a href="javascript:;" title="Retrieval-Augmented Generation (RAG)">Retrieval-Augmented Generation (RAG)</a> </h2> <div class="tpif-des"> Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) is a powerful natural language processing (NLP) architecture introduced in this workshop notebook. RAG combines retrieval and generation models, enhancing language understanding and generation […] </div> <div class="tlif-readmore"> <a href="javascript:;" title="Retrieval-Augmented Generation (RAG)"> Learn More <i class="fa fa-long-arrow-right" aria-hidden="true"></i> </a> </div> </div>  </div> </div> </div> </div> <style type="text/css"> #timeline-8726 li.post-61708 .tlif-img span.tlif-icon, #timeline-8726 .infogr-list > li.post-61708 .tlif-content .tlif-info span.tll-date{color:#fe8900;} #timeline-8726 li.post-61708 .tlif-img span.tlif-icon, #timeline-8726 li.post-61708 .tlif-readmore a, #timeline-8726 li.post-61708 .tlif-media, #timeline-8726 li.post-61708 .extlif-felname span, #timeline-8726 li.post-61708 .tlif-img a{border-color:#fe8900;} </style> </li> </ul> <div class="extl-info-end wpex-loadmore wpex-endlabel"><span>Certificate Award</span></div> <div class="wpex-filter"> <span class="fa fa-angle-double-left" data-id="timeline-8726"></span> <div><span class="active" id="filter-8726_61685">WORKSHOP 1</span><span id="filter-8726_61686">WORKSHOP 2</span><span id="filter-8726_61698">WORKSHOP 3</span><span id="filter-8726_61699">WORKSHOP 4</span><span id="filter-8726_61700">WORKSHOP 5</span><span id="filter-8726_61702">WORKSHOP 6</span><span id="filter-8726_61704">WORKSHOP 7</span><span id="filter-8726_61705">WORKSHOP 8</span><span id="filter-8726_61708">WORKSHOP 9</span></div> </div> </div> <br /> </div><div class="tatsu-single-image tatsu-module align-center tatsu-image-lazyload tatsu-external-image tatsu-Hkh3uvbH6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/Large-Language-Models-and-Prompt-Engineering-Certificate-copy1.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-Hkh3uvbH6 .tatsu-single-image-inner{border-style: solid;max-width: 39%;}.tatsu-Hkh3uvbH6.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-vfjykGrh5.tatsu-column{width: 100%;}.tatsu-vfjykGrh5.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-vfjykGrh5 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-vfjykGrh5 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-vfjykGrh5 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-vfjykGrh5 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-vfjykGrh5.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-vfjykGrh5.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-vfjykGrh5.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-59JOgoDJza.tatsu-section{background-color: rgba(0,0,0,1);}.tatsu-59JOgoDJza .tatsu-section-pad{padding: 25px 0px 59px 0px;}.tatsu-59JOgoDJza .tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-59JOgoDJza > .tatsu-bottom-divider{z-index: 9999;}.tatsu-59JOgoDJza > .tatsu-top-divider{z-index: 9999;}.tatsu-59JOgoDJza .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div class="tatsu-PckG49xZU tatsu-section tatsu-bg-overlay tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"27px 0px 23px 0px"}' data-padding-top='27px'><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-WqDkdn0thm" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-qMhWZ9ZJJN" 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-FNpsiGLwGj "><div class="tatsu-text-inner clearfix" ><style>.tatsu-FNpsiGLwGj.tatsu-text-block-wrap .tatsu-text-inner{width: 35%;text-align: left;color: rgba(255,255,255,1) ;border-style: solid;border-width: 0px 0px 10px 0px;border-color: rgba(42,63,176,1); }.tatsu-FNpsiGLwGj.tatsu-text-block-wrap{margin: 0px 0px 0px 0px;}.tatsu-FNpsiGLwGj .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style> <h2>How it Works</h2> </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-qMhWZ9ZJJN.tatsu-column{width: 100%;}.tatsu-qMhWZ9ZJJN.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-qMhWZ9ZJJN > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-qMhWZ9ZJJN > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-qMhWZ9ZJJN > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-qMhWZ9ZJJN > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-qMhWZ9ZJJN.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-qMhWZ9ZJJN.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-qMhWZ9ZJJN.tatsu-column{width: 100%;}}</style></div></div></div><div class="tatsu-row-wrap tatsu-wrap tatsu-row-has-one-half tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-hide-mobile tatsu-clearfix tatsu-gwcy1iqovu483fwd" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-image-none tatsu-column-effect-none tatsu-gwcy1iqp0g1qe1zi" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><ul class="tatsu-module tatsu-list tatsu-gwcy1iqp3d9ppywy tatsu-list-vertical-align-center tatsu-lists-icon" ><style>.tatsu-gwcy1iqp3d9ppywy{margin: 1px 0px 0px 0px;}.tatsu-gwcy1iqp3d9ppywy .tatsu-list-content::before, .tatsu-gwcy1iqp3d9ppywy .tatsu-icon{color: rgba(34,147,215,1) ;}@media only screen and (max-width: 767px) {.tatsu-gwcy1iqp3d9ppywy{margin: 1px 0px 0px 0px;padding: 0px 0px 0px 0px;}.tatsu-gwcy1iqp3d9ppywy .tatsu-list-content{margin: 0 0 15px 0px;}}</style><li class="tatsu-list-content tatsu-gwcy1iqp5t15vp86 " ><div class="tatsu-list-icon-wrap" ><i class="tatsu-icon icon-icon_check "></i></div><div class="tatsu-list-inner"> <p><span style="color: #ffffff;">Enroll in full Generative AI and LLM Certificate course (free with the Ai+ Training Plans) and get access to all the course workshops.</span></p> </div><style>.tatsu-gwcy1iqp5t15vp86 .tatsu-icon, .tatsu-gwcy1iqp5t15vp86.tatsu-list-content::before{color: rgba(255,255,255,1) ;}.tatsu-gwcy1iqp5t15vp86{border-style: solid;}</style></li><li class="tatsu-list-content tatsu-gwcy1iqp7b3riuqe " ><div class="tatsu-list-icon-wrap" ><i class="tatsu-icon icon-icon_check "></i></div><div class="tatsu-list-inner"> <p><span style="color: #ffffff;">Each workshops contain or or more code notebooks for hands-on experience</span></p> </div><style>.tatsu-gwcy1iqp7b3riuqe .tatsu-icon, .tatsu-gwcy1iqp7b3riuqe.tatsu-list-content::before{color: rgba(255,255,255,1) ;}.tatsu-gwcy1iqp7b3riuqe{border-style: solid;}</style></li><li class="tatsu-list-content tatsu-rJk7l_2Xp " ><div class="tatsu-list-icon-wrap" ><i class="tatsu-icon icon-icon_check "></i></div><div class="tatsu-list-inner"> <p><span style="color: #ffffff;">Each workshop consists of one or more tutorials to explain the core concepts and walk you though the code</span></p> </div><style>.tatsu-rJk7l_2Xp .tatsu-icon, .tatsu-rJk7l_2Xp.tatsu-list-content::before{color: rgba(255,255,255,1) ;}.tatsu-rJk7l_2Xp{border-style: solid;}</style></li></ul></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-gwcy1iqp0g1qe1zi.tatsu-column{width: 50%;}.tatsu-gwcy1iqp0g1qe1zi.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-gwcy1iqp0g1qe1zi > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-gwcy1iqp0g1qe1zi > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-gwcy1iqp0g1qe1zi > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-gwcy1iqp0g1qe1zi > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-gwcy1iqp0g1qe1zi.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-gwcy1iqp0g1qe1zi.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-gwcy1iqp0g1qe1zi.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-gwcy1iqp9ocmk4wv" data-parallax-speed="0" style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><ul class="tatsu-module tatsu-list tatsu-gwcy1iqpbs6ot80o tatsu-list-vertical-align-center tatsu-lists-icon" ><style>.tatsu-gwcy1iqpbs6ot80o .tatsu-list-content{margin: 0 0 12px 0px;}.tatsu-gwcy1iqpbs6ot80o .tatsu-list-content::before, .tatsu-gwcy1iqpbs6ot80o .tatsu-icon{color: rgba(34,147,215,1) ;}</style><li class="tatsu-list-content tatsu-gwcy1iqpdvcf8866 " ><div class="tatsu-list-icon-wrap" ><i class="tatsu-icon icon-icon_check "></i></div><div class="tatsu-list-inner"> <p><span style="color: #ffffff;">Workshop exercises and checkpoints are included to test your knowledge outcomes.</span></p> </div><style>.tatsu-gwcy1iqpdvcf8866 .tatsu-icon, .tatsu-gwcy1iqpdvcf8866.tatsu-list-content::before{color: rgba(255,255,255,1) ;}.tatsu-gwcy1iqpdvcf8866{border-style: solid;}</style></li><li class="tatsu-list-content tatsu-gwcy1iqpek6ifllo " ><div class="tatsu-list-icon-wrap" ><i class="tatsu-icon icon-icon_check "></i></div><div class="tatsu-list-inner"> <p><span style="color: #ffffff;">Learn at your own pace. All the sessions are available on-demand</span></p> </div><style>.tatsu-gwcy1iqpek6ifllo .tatsu-icon, .tatsu-gwcy1iqpek6ifllo.tatsu-list-content::before{color: rgba(255,255,255,1) ;}.tatsu-gwcy1iqpek6ifllo{border-style: solid;}</style></li><li class="tatsu-list-content tatsu-gwcy1iqpf6fhcpqa " ><div class="tatsu-list-icon-wrap" ><i class="tatsu-icon icon-icon_check "></i></div><div class="tatsu-list-inner"> <p><span style="color: #ffffff;">Complete all 9 workhos and recieve an ODSC Certificate in Generative AI and LLMs</span></p> </div><style>.tatsu-gwcy1iqpf6fhcpqa .tatsu-icon, .tatsu-gwcy1iqpf6fhcpqa.tatsu-list-content::before{color: rgba(255,255,255,1) ;}.tatsu-gwcy1iqpf6fhcpqa{border-style: solid;}</style></li></ul></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-gwcy1iqp9ocmk4wv.tatsu-column{width: 50%;}.tatsu-gwcy1iqp9ocmk4wv.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-gwcy1iqp9ocmk4wv > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-gwcy1iqp9ocmk4wv > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-gwcy1iqp9ocmk4wv > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-gwcy1iqp9ocmk4wv > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-gwcy1iqp9ocmk4wv.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-gwcy1iqp9ocmk4wv.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-gwcy1iqp9ocmk4wv.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 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style=""><div class="tatsu-column-inner " ><div class="tatsu-column-pad-wrap"><div class="tatsu-column-pad" ><div class="tatsu-module tatsu-call-to-action tatsu-clearfix tatsu-Aml9lRac3 " ><div class="tatsu-cta-inner"><h2 class="tatsu-action-content" >FREE WITH ANY ODSC PASS</h2><a class="mediumbtn tatsu-button rounded tatsu-action-button " href="https://odsc.com/california/" data-gdpr-atts={} target="_blank"><span>REGISTER NOW</span></a><style>.tatsu-Aml9lRac3.tatsu-call-to-action{background-color: rgba(82,82,82,1);}.tatsu-Aml9lRac3 .tatsu-action-content{color: #ffffff ;}.tatsu-Aml9lRac3 .tatsu-action-button{background: rgba(254,137,0,1);border-color: transparent; }.tatsu-Aml9lRac3 .tatsu-action-button:hover{background: #222222;border-color: #ffffff; }.tatsu-Aml9lRac3 .tatsu-action-button span{color: #ffffff ;}.tatsu-Aml9lRac3 .tatsu-action-button:hover span{color: rgba(224,162,64,1) ;}</style></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-GjK94bJeP.tatsu-column{width: 100%;}.tatsu-GjK94bJeP.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-GjK94bJeP > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-GjK94bJeP > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-GjK94bJeP > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-GjK94bJeP > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-GjK94bJeP.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-GjK94bJeP.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-GjK94bJeP.tatsu-column{width: 100%;}}</style></div></div></div><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-HJxJRZOhXp" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-image-none tatsu-column-effect-none tatsu-B1bAWuh7T" 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-rJ6A-Onm6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_llms-copy.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-rJ6A-Onm6 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-rJ6A-Onm6.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div><div class="tatsu-row-wrap tatsu-row-has-one-half tatsu-row-has-two-cols tatsu-medium-gutter tatsu-reg-cols tatsu-inner-row-wrap tatsu-clearfix tatsu-B1eckE_3QT" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-image- tatsu-column-effect- tatsu-r1hvHdh76" 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-B11gN_nQ6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_QUESTIONS-ANSWERING_.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-B11gN_nQ6 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-B11gN_nQ6.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-Skf5vdnXT " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/AI-ASSISTED-CODING.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-Skf5vdnXT .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-Skf5vdnXT.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-r1hvHdh76.tatsu-column{width: 50%;}.tatsu-r1hvHdh76.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-r1hvHdh76 > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-r1hvHdh76 > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-r1hvHdh76 > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-r1hvHdh76 > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-r1hvHdh76.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-r1hvHdh76.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-r1hvHdh76.tatsu-column{width: 100%;}}</style></div><div class="tatsu-column tatsu-bg-overlay tatsu-one-half tatsu-column-image- tatsu-column-effect- tatsu-Bke2Dr_3ma" 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-SJGbBOhXp " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_RAG.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-SJGbBOhXp .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-SJGbBOhXp.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-H1TMLu3Q6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_PARAMETER-EFFICIENT-2.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-H1TMLu3Q6 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-H1TMLu3Q6.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-Bke2Dr_3ma.tatsu-column{width: 50%;}.tatsu-Bke2Dr_3ma.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-Bke2Dr_3ma > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-Bke2Dr_3ma > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-Bke2Dr_3ma > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-Bke2Dr_3ma > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-Bke2Dr_3ma.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-Bke2Dr_3ma.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-Bke2Dr_3ma.tatsu-column{width: 100%;}}</style></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-B1bAWuh7T.tatsu-column{width: 67.8%;}.tatsu-B1bAWuh7T.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-B1bAWuh7T > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-B1bAWuh7T > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-B1bAWuh7T > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-B1bAWuh7T > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-B1bAWuh7T.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-B1bAWuh7T.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-B1bAWuh7T.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-HklbCZd3Qp" 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-BJ6J7O2XT " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_prompt-engineering-copy.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-BJ6J7O2XT .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-BJ6J7O2XT.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-ryBX7OhmT " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_FINE-TUNING-copy.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-ryBX7OhmT .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-ryBX7OhmT.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-rJJYSd2m6 " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/ai-track_GEN-AI-copy.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-rJJYSd2m6 .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-rJJYSd2m6.tatsu-single-image{transform: translate3d(0px,0px, 0);}</style></div><div class="tatsu-single-image tatsu-module tatsu-image-lazyload tatsu-external-image tatsu-BkzUqvWSp " ><div class="tatsu-single-image-inner " style="" ><div class = "tatsu-single-image-padding-wrap" style = "" ></div><img class = "tatsu-gradient-border" data-src = "https://aiplus.training/wp-content/uploads/2023/11/AI-LCAGENTS.png" alt =" " src ="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" /></div><style>.tatsu-BkzUqvWSp .tatsu-single-image-inner{border-style: solid;max-width: 100%;}.tatsu-BkzUqvWSp.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-HklbCZd3Qp.tatsu-column{width: 32.2%;}.tatsu-HklbCZd3Qp.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-HklbCZd3Qp > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-HklbCZd3Qp > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-HklbCZd3Qp > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-HklbCZd3Qp > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-HklbCZd3Qp.tatsu-column{width: 50%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-HklbCZd3Qp.tatsu-column{width: 50%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-HklbCZd3Qp.tatsu-column{width: 100%;}}</style></div></div></div></div><div class="tatsu-section-background-wrap"><div class = "tatsu-section-background" ></div></div><style>.tatsu-pjEnK7LUW.tatsu-section{background-color: rgba(19,19,19,1);}.tatsu-pjEnK7LUW .tatsu-section-pad{padding: 0px 0px 23px 0px;}.tatsu-pjEnK7LUW > .tatsu-bottom-divider{z-index: 9999;}.tatsu-pjEnK7LUW > .tatsu-top-divider{z-index: 9999;}</style></div><div class="tatsu-NrFSpR_Nh tatsu-section tatsu-bg-overlay tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"61px 0px 59px 0px"}' data-padding-top='61px'><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-rJvPsRCaTK" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-pgEV-0ozjU" 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-hk5vs9tbkb6pqxnn "><div class="tatsu-text-inner clearfix" ><style>.tatsu-hk5vs9tbkb6pqxnn.tatsu-text-block-wrap .tatsu-text-inner{width: 35%;text-align: left;color: rgba(255,255,255,1) ;border-style: solid;border-width: 0px 0px 10px 0px;border-color: rgba(42,63,176,1); }.tatsu-hk5vs9tbkb6pqxnn.tatsu-text-block-wrap{margin: 0px 0px 0px 0px;}.tatsu-hk5vs9tbkb6pqxnn .tatsu-text-inner *{color: rgba(255,255,255,1) ;}</style> <h2>Course Contents</h2> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-sGBSf9pGjE "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-sGBSf9pGjE.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course : Introduction to Large Language Models</span></h3> <p><span style="color: #ffffff;">This hands-on course serves as a comprehensive introduction to Large Language Models (LLMs), covering a spectrum of topics from their differentiation from other language models to their underlying architecture and practical applications. It delves into the technical aspects, such as the transformer architecture and the attention mechanism, which are the cornerstones of modern language models. </span></p> <p><span style="color: #ffffff;">By utilizing the code notebooks included in this course, participants can code alongside the code instructor to ensure hands-on practice experience in LLMs</span></p> <h4><span style="color: #ffffff;">Whats Covered</span></h4> <ul> <li><span style="color: #ffffff;">Introduction</span></li> <li><span style="color: #ffffff;">Why Are LLMs So Powerful</span></li> <li><span style="color: #ffffff;">The Transformer Architecture</span></li> <li><span style="color: #ffffff;">The Application of LLMs </span></li> <li><span style="color: #ffffff;">Flow Chaining</span></li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-HkkTTP6Ep "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-HkkTTP6Ep.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 2: Introduction to Prompt Engineering</span></h3> <p><span style="color: #ffffff;">This workshop on Prompt Engineering explores the pivotal role of prompts in guiding Large Language Models (LLMs) like ChatGPT to generate desired responses. It emphasizes how prompts provide context, control output style and tone, aid in precise information retrieval, offer task-specific guidance, and ensure ethical AI usage. T</span></p> <h4><span style="color: #ffffff;">Whats Covered</span></h4> <ul> <li><span style="color: #ffffff;">Introduction to Prompt Engineering</span></li> <li><span style="color: #ffffff;">Prompt Tuning as a Mechanism for Fine Tuning</span></li> <li><span style="color: #ffffff;">Guardrails for Prompt Responses</span></li> <li><span style="color: #ffffff;">Temperature as a Means for Model Control</span></li> <li><span style="color: #ffffff;"> Memorization</span></li> <li><span style="color: #ffffff;"> Tools For Prompt Engineering</span></li> </ul> <p> </p> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-SyscCDTE6 "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SyscCDTE6.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 3: Prompting with OpenAI and Prompting Safety Guardrails<br /></span></h3> <p><span style="color: #ffffff;">This workshop on prompt engineering with OpenAI discussed best practices for utilizing OpenAI models. The workshop also included code for installing the langchain library and demonstrated how to create prompts effectively, emphasizing the importance of clarity, specificity, and precision in prompts. Additionally, the workshop showed how to craft prompts for specific tasks, such as extracting entities from text. </span><span style="color: #ffffff;">Lastly, the workshop addressed the importance of using prompts as safety guardrails. It introduced prompts to mitigate hallucination and jailbreaking risks.</span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li><span style="color: #ffffff;">Best Practices for Prompting OpenAI</span></li> <li><span style="color: #ffffff;">Prompting Safety Guardrails</span></li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-Skyvk_aNp "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-Skyvk_aNp.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 4: Building a Q&A Bot with LLMs, Vector Search, and LangChain</span></h3> <p><span style="color: #ffffff;">The workshop notebook delves into building a Question and Answering Bot based on a fixed knowledge base, covering the integration of concepts discussed in earlier notebooks about LLMs (Large Language Models) and prompting. The notebook explains the steps involved in vector search including vector representation, indexing, querying, similarity measurement, and retrieval, detailing various technologies used for vector search such as vector libraries, vector databases, and vector plugins. Following this, the focus shifts to text generation where Langchain Chains are introduced. Chains, as described, allow for more complex applications by chaining several steps and models together into pipelines A RetrievalQA chain is used to build a Q&A Bot application which utilizes an OpenAI chat model for text generation. <br /></span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li> <p><span style="font-weight: 400; color: #ffffff;">Building a Q&A Bot</span></p> </li> <li> <p><span style="color: #ffffff;"><span style="font-weight: 400;">Vector Search Technologies</span></span></p> </li> <li> <p><span style="color: #ffffff;">LangChain Chains</span></p> </li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-ryobYuaNT "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ryobYuaNT.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 5: Fine-Tuning LLMs and Embedding Models</span></h3> <p><span style="color: #ffffff;">This workshop explores the importance of fine-tuning Language and Embedding Models (LLMs). It highlights how embedding models are used to map natural language to vectors, crucial for pipelines with multiple models to adapt to specific data nuances. An example demonstrates fine-tuning an embedding model for legal text. The notebook discusses existing solutions and hardware considerations, emphasizing GPU usage for large data.</span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li> <p><span style="color: #ffffff;">Fine Tuning Embedding Models</span></p> </li> <li> <p><span style="color: #ffffff;">Fine Tuning a Large Language Model</span></p> </li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-H1Y9tuTET "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-H1Y9tuTET.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 6: Fine Tuning an Existing LLM</span></h3> <p><span style="color: #ffffff;"> </span><span style="color: #ffffff;">The workshop explores the process of fine-tuning Large Language Models (LLMs) for Natural Language Processing (NLP) tasks. It highlights the motivations for fine-tuning, such as task adaptation, transfer learning, and handling low-data scenarios, using a Yelp Review dataset. The notebook employs the HuggingFace Transformers library, including tokenization with AutoTokenizer, data subset selection, and model choice (BERT-based model). Hyperparameter tuning, evaluation strategy, and metrics are introduced. It also briefly mentions DeepSpeed for optimization and Parameter Efficient Fine-Tuning (PEFT) for resource-efficient fine-tuning, providing a comprehensive introduction to fine-tuning LLMs for NLP tasks.</span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li> <p><span style="color: #ffffff;">Fine Tuning a Large Language Model</span></p> </li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-ByV0cOpVa "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-ByV0cOpVa.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 7: LangChain Agents</span></h3> <p><span style="color: #ffffff;"> The “LangChain Agents” workshop delves into the “Agents” component of the LangChain library, offering a deeper understanding of how LangChain integrates Large Language Models (LLMs) with external systems and tools to execute actions. This workshop builds on the concept of “chains,” which can link multiple LLMs to tackle various tasks like classification, text generation, code generation, and more. “Agents” enable LLMs to interact with external systems and tools, making informed decisions based on available options. The workshop explores the different types of agents, such as “Zero-shot ReAct,” “Structured input ReAct,” “OpenAI Functions,” “Conversational,” “Self ask with search,” “ReAct document store,” and “Plan-and-execute agents.” It provides practical code examples, including initializing LLMs, defining tools, creating agents, and demonstrates how these agents can answer questions using external APIs, offering participants a comprehensive overview of LangChain’s agent capabilities.</span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li> <p><span style="color: #ffffff;">LangChain Agents</span></p> </li> <li> <p><span style="color: #ffffff;">Chaining Multiple LLMs</span></p> </li> <li><span style="color: #ffffff;">Types of Agents</span></li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-SJSOou6VT "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-SJSOou6VT.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 8: Parameter Efficient Fine-tuning </span></h3> <p><span style="color: #ffffff;">For the next workshop, our focus will be on parameter-efficient fine-tuning (PEFT) techniques in the field of machine learning, specifically within the context of large neural language models like GPT or BERT. PEFT is a powerful approach that allows us to adapt these pre-trained models to specific tasks while minimizing additional parameter overhead. Instead of fine-tuning the entire massive model, PEFT introduces compact, task-specific parameters known as “adapters” into the pre-trained model’s architecture. These adapters enable the model to adapt to new tasks without significantly increasing its size. PEFT strikes a balance between model size and adaptability, making it a crucial technique for real-world applications where computational and memory resources are limited, while still maintaining competitive performance. In this workshop, we will delve into the different PEFT methods, such as additive, selective, re-parameterization, adapter-based, and soft prompt-based approaches </span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li> <p><span style="color: #ffffff;">Parameter-efficient fine-tuning (PEFT) techiques</span></p> </li> <li> <p><span style="color: #ffffff;">Additive, selective, re-parameterization, adapter-based PERF</span></p> </li> </ul> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-r1ot2_6Va "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-r1ot2_6Va.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <h3><span style="color: #ffffff;">Course 9: Retrieval-Augmented Generation (RAG)</span></h3> <p><span style="color: #ffffff;">Retrieval-Augmented Generation (RAG) is a powerful natural language processing (NLP) architecture introduced in this workshop notebook. RAG combines retrieval and generation models, enhancing language understanding and generation tasks. It consists of a retrieval component, which efficiently searches vast text databases for relevant information, and a generation component, often based on Transformer models, capable of producing coherent responses based on retrieved context. RAG’s versatility extends to various NLP applications, including question-answering and text summarization. Additionally, this notebook covers practical aspects such as indexing content, configuring RAG chains, and incorporating prompt engineering, offering a comprehensive introduction to harnessing RAG’s capabilities for NLP tasks.</span></p> <h4><span style="color: #ffffff;">What’s Covered</span></h4> <ul> <li> <p><span style="color: #ffffff;">Retrieval-Augmented Generation (RAG)</span></p> </li> </ul> </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-pgEV-0ozjU.tatsu-column{width: 100%;}.tatsu-pgEV-0ozjU.tatsu-column > .tatsu-column-inner > .tatsu-column-overlay{mix-blend-mode: normal;}.tatsu-pgEV-0ozjU > .tatsu-column-inner > .tatsu-top-divider{z-index: 9999;}.tatsu-pgEV-0ozjU > .tatsu-column-inner > .tatsu-bottom-divider{z-index: 9999;}.tatsu-pgEV-0ozjU > .tatsu-column-inner > .tatsu-left-divider{z-index: 9999;}.tatsu-pgEV-0ozjU > .tatsu-column-inner > .tatsu-right-divider{z-index: 9999;}@media only screen and (max-width:1377px) {.tatsu-row > .tatsu-pgEV-0ozjU.tatsu-column{width: 100%;}}@media only screen and (min-width:768px) and (max-width: 1024px) {.tatsu-row > .tatsu-pgEV-0ozjU.tatsu-column{width: 100%;}}@media only screen and (max-width: 767px) {.tatsu-row > .tatsu-pgEV-0ozjU.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-NrFSpR_Nh.tatsu-section{background-color: rgba(0,0,0,1);}.tatsu-NrFSpR_Nh .tatsu-section-pad{padding: 61px 0px 59px 0px;}.tatsu-NrFSpR_Nh .tatsu-section-offset-wrap{transform: translateY(-0px);}.tatsu-NrFSpR_Nh > .tatsu-bottom-divider{z-index: 9999;}.tatsu-NrFSpR_Nh > .tatsu-top-divider{z-index: 9999;}.tatsu-NrFSpR_Nh .tatsu-section-overlay{mix-blend-mode: normal;}</style></div><div class="tatsu-GMIU9OdFTw tatsu-section tatsu-bg-overlay tatsu-hide-desktop tatsu-hide-laptop tatsu-hide-tablet tatsu-hide-mobile tatsu-clearfix" data-title="" data-headerscheme="background--dark"><div class='tatsu-section-pad clearfix' data-padding='{"d":"52px 0px 52px 0px"}' data-padding-top='52px'><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-9rbWKZ8QN4" ><div class="tatsu-row " ><div class="tatsu-column tatsu-bg-overlay tatsu-one-col tatsu-column-image-none tatsu-column-effect-none tatsu-6DIrD_m7v" 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-3DA1e5b2e tatsu-hide-desktop tatsu-hide-laptop tatsu-hide-tablet tatsu-hide-mobile "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-3DA1e5b2e.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;background-color: rgba(74,74,74,1);}</style> <p style="text-align: center;"><span style="color: #ffffff;"><strong>PRICE</strong></span></p> </div></div><div class="tatsu-module tatsu-text-block-wrap tatsu-gx09768j0r8z1qej "><div class="tatsu-text-inner tatsu-align-center clearfix" ><style>.tatsu-gx09768j0r8z1qej.tatsu-text-block-wrap .tatsu-text-inner{width: 100%;text-align: left;}</style> <p><a href="#register"><span style="font-size: 36pt; 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(!result[level][level1][level2][level3][level4]) { result[level][level1][level2][level3][level4] = {}; } if (!level5) { result[level][level1][level2][level3][level4][item.Title] = item; continue; } result[level][level1][level2][level3][level4][level5][item.Title] = item; } } function convertChildrenAsArray(name, item, level, color) { if (item['Level']) { return { ...item, name: item['Title'], color, }; } let children = []; let index = 0; for (let key in item) { children.push(convertChildrenAsArray(key, item[key], level + 1, level === 0 ? colors[index] : color)); index ++; } return { name, children, color, }; } return convertChildrenAsArray("On-Demand Learning Paths", result, 0, null); } const treeData = convertData(chartData); function drawChart(data) { d3.selectAll('.tooltip').remove(); d3.selectAll('#tree-container svg').remove(); const viewerWidth = window.innerWidth * 0.8; const viewerHeight = window.innerHeight - 16; const duration = 750; const levels = 6; const maxTextWith = 150; const lineHeight = 14; let hoveredPosition = { x: 0, y: 0 }; // Define the div for the tooltip let tooltip = d3.select("body").append("div") .attr("class", "tooltip") .style("opacity", 0); let nodeId = 0; let root; let tree = d3.layout.tree() .size([viewerHeight, viewerWidth]); // define a d3 diagonal projection for use by the node paths later on. const diagonal = d3.svg.diagonal() .projection(d => [d.y, d.x]); // Define the zoom function for the zoomable tree function zoom() { svgGroup.attr("transform", "translate(" + d3.event.translate + ")scale(" + d3.event.scale + ")"); } // define the zoomListener which calls the zoom function on the "zoom" event constrained within the scaleExtents const zoomListener = d3.behavior.zoom().scaleExtent([0.1, 3]).on("zoom", zoom); // define the baseSvg, attaching a class for styling and the zoomListener const baseSvg = d3.select("#tree-container").append("svg") .attr("width", viewerWidth) .attr("height", viewerHeight) .attr("class", "overlay") .on("mousemove", (d) => mouseOut(d)); // Function to collapse node function collapse(d) { if (d.children) { d._children = d.children; d._children.forEach(collapse); d.children = null; } } // Function to center node when clicked/dropped so node doesn't get lost when collapsing/moving with large amount of children. function centerNode(source) { let scale = zoomListener.scale(); let x = -source.y0; let y = -source.x0; x = x * scale + viewerWidth / 2; y = y * scale + viewerHeight / 2; d3.select('g').transition() .duration(duration) .attr("transform", "translate(" + x + "," + y + ")scale(" + scale + ")"); zoomListener.scale(scale); zoomListener.translate([x, y]); } // Toggle children function function toggleChildren(d) { if (d.children) { d._children = d.children; d.children = null; } else if (d._children) { d.children = d._children; d._children = null; } return d; } // Toggle children on click. function click(d) { if (d3.event.defaultPrevented) { return; } d = toggleChildren(d); update(d); if (d.children || d._children) { centerNode(d); } if (d.depth === 0) { if (d.children) { baseSvg.call(zoomListener); } else { baseSvg.on('.zoom', null); } } } // Get width of text function measureWidth(text) { const context = document.createElement("canvas").getContext("2d"); return context.measureText(text).width; } // Split string into words function splitWords(text, node) { const words = text.split(/\s+/g); // To hyphenate: /\s+|(?<=-)/ if (!words[words.length - 1]) { words.pop(); } else if (!words[0]) { words.shift(); } return { words, node }; } // Get lines from text when it overflows maxTextWidth function getLines(node) { let line; let lineWidth0 = Infinity; let lines = []; for (let i = 0, n = node.words.length; i < n; ++i) { let lineText1 = (line ? line.text + " " : "") + node.words[i]; let lineWidth1 = measureWidth(lineText1); if ((lineWidth0 + lineWidth1) / 2 < maxTextWith) { line.width = lineWidth0 = lineWidth1; line.text = lineText1; } else { lineWidth0 = measureWidth(node.words[i]); line = { width: lineWidth0, text: node.words[i], ...node.node, length: lines.length }; lines.push(line); } } return lines; } function mouseOver(d) { if (!d["Level"]) { return; } let html = ""; if (d["URL"]) { html += `<a target="_blank" rel="noopener noreferrer">Course Link</a>`; } html += `<p><strong>Level: </strong>${d["Level"]}</p>`; if (d["Type"]) { html += `<p><strong>Type: </strong>${d["Type"]}</p>`; } if (d["Duration"]) { html += `<p><strong>Duration: </strong>${d["Duration"]}</p>`; } tooltip.transition() .duration(200) .style("opacity", .9); tooltip.html(html) .style("left", (d3.event.pageX) + "px") .style("top", (d3.event.pageY) + "px"); hoveredPosition = { x: d3.event.pageX, y: d3.event.pageY }; } function mouseOut(d) { if (hoveredPosition.x === 0 || (d3.event.pageX > hoveredPosition.x - 10 && d3.event.pageX < hoveredPosition.x + 150 && d3.event.pageY > hoveredPosition.y - 10 && d3.event.pageY < hoveredPosition.y + 90)) { return; } tooltip.transition() .duration(500) .style("opacity", 0); tooltip.html(null); } function update(source) { // Compute the new height, function counts total children of root node and sets tree height accordingly. // This prevents the layout looking squashed when new nodes are made visible or looking sparse when nodes are removed // This makes the layout more consistent. let levelWidth = [1]; const childCount = (level, n) => { if (n.children && n.children.length > 0) { if (levelWidth.length <= level + 1) { levelWidth.push(0); } levelWidth[level + 1] += n.children.length; n.children.forEach((d) => { childCount(level + 1, d); }); } }; childCount(0, root); const newHeight = d3.max(levelWidth) * (25 + (source.depth ? source.depth * 5 : 0)); // 25 pixels per line tree = tree.size([newHeight, viewerWidth]); // Compute the new tree layout. const nodes = tree.nodes(root).reverse(), links = tree.links(nodes); // Set widths between levels based on maxLabelLength. nodes.forEach((d) => { d.y = (d.depth * 300); d.x = d.x * 2.5; }); // Update the nodes… node = svgGroup.selectAll("g.node") .data(nodes, (d) => { return d.id || (d.id = ++nodeId); }); // Enter any new nodes at the parent's previous position. let nodeEnter = node.enter().append("g") .attr("class", "node") .attr("transform", (d) => { return "translate(" + source.y0 + "," + source.x0 + ")"; }) .on('click', click); nodeEnter.append("circle") .attr('class', 'nodeCircle') .attr("r", 0) .style("fill", (d) => { return d._children ? (d.color || "lightsteelblue") : "#fff"; }); let rect = nodeEnter.append("rect") .attr('class', 'nodeRect') .attr('x', (d) => 5) .attr('y', (d) => { return d.children || d._children ? 0 : -12 - getLines(splitWords(d.name, d)).length * 2; }) .attr('width', (d) => { return d.children || d._children ? 0 : 240; }) .attr('height', (d) => { return d.children || d._children ? 0 : getLines(splitWords(d.name, d)).length * 18; }) .attr('stroke', '#fff') .attr('fill', 'transparent') .attr('rx', 10); nodeEnter.append("text") .attr('class', 'nodeText') .attr("text-anchor", (d) => { return d.children || d._children ? "end" : "start"; }) .style("fill", (d) => { return d.children || d._children ? "#ddd" : "#fff"; }) .style("fill-opacity", 0) .on("mouseover", (d) => mouseOver(d)) .selectAll("tspan") .data(d => getLines(splitWords(d.name, d))) .enter() .append("tspan") .attr("x", (d) => { return d.children || d._children ? -8 : 8; }) .attr("y", (d, i) => i * lineHeight) .attr("dy", d => { if (d.children || d._children) { return '-1.2em'; } return '0em'; }) .text(d => d.text); // Change the circle fill depending on whether it has children and is collapsed node.select("circle.nodeCircle") .attr("r", d => { let maxChildLength = 0; if (d.children || d._children) { (d.children || d._children).forEach(c => { if ((c.children || c._children) && (c.children || c._children).length > maxChildLength) { maxChildLength = (c.children || c._children).length; } }); if ((d.children || d._children).length > maxChildLength) { maxChildLength = (d.children || d._children).length; } if (maxChildLength < 4) { maxChildLength = 4; } } else { maxChildLength = 1.5; } return (maxChildLength * 3 / 2) + "px"; }) .style("fill", (d) => { return d._children ? (d.color || "green") : "#fff"; }); // Transition nodes to their new position. let nodeUpdate = node.transition() .duration(duration) .attr("transform", (d) => { return "translate(" + d.y + "," + d.x + ")"; }); // Fade the text in nodeUpdate.select("text") .style("fill-opacity", 1); // Transition exiting nodes to the parent's new position. let nodeExit = node.exit().transition() .duration(duration) .attr("transform", (d) => { return "translate(" + source.y + "," + source.x + ")"; }) .remove(); nodeExit.select("circle") .attr("r", 0); nodeExit.select("text") .style("fill-opacity", 0); // Update the links… let link = svgGroup.selectAll("path.link") .data(links, (d) => { return d.target.id; }); // Enter any new links at the parent's previous position. link.enter().insert("path", "g") .attr("class", "link") .attr("stroke-width", d => { if (d.target.children || d.target._children) { return (d.target.children || d.target._children).length * 3 + "px"; } return "2px"; }) .attr("stroke", d => d.target.color || "#ccc") .attr("d", (d) => { const o = { x: source.x0, y: source.y0 }; return diagonal({ source: o, target: o }); }); // Transition links to their new position. link.transition() .duration(duration) .attr("d", diagonal); // Transition exiting nodes to the parent's new position. link.exit().transition() .duration(duration) .attr("d", (d) => { const o = { x: source.x, y: source.y }; return diagonal({ source: o, target: o }); }) .remove(); // Stash the old positions for transition. nodes.forEach((d) => { d.x0 = d.x; d.y0 = d.y; }); } // Append a group which holds all nodes and which the zoom Listener can act upon. let svgGroup = baseSvg.append("g"); // Define the root root = JSON.parse(JSON.stringify(data)); root.x0 = viewerHeight / 2; root.y0 = 0; // Layout the tree initially and center on the root node. collapse(root); update(root); centerNode(root); } drawChart(treeData); window.addEventListener('resize', () => { drawChart(treeData); });</script>  <div id='icon_wrapper'></div> <script> //jQuery(document).ready(function(){ jQuery(document).ready(function($){ function timeout() { setTimeout(function () { console.log('fired'); if(jQuery.fn.hasOwnProperty('magnificPopup')){ jQuery('.mptt-shortcode-wrapper').magnificPopup({ delegate: 'a', // child items selector, by clicking on it popup will open type: 'ajax', callbacks: { parseAjax: function(mfpResponse) { var title = $(mfpResponse.data).find('.post-title a').text(); var content = $(mfpResponse.data).find('.post-content').html(); mfpResponse.data ="<h4>"+title +'</h4>'+ content; } } }); } else{ timeout(); } }, 500); } if(jQuery('.mptt-shortcode-wrapper').length){ timeout(); } // jQuery('.mptt-shortcode-table:not(:first)').remove(); }); // }); </script> </body> </html>

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