CINXE.COM

<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><title>Rectified Linear Unit (ReLU) | Deepgram</title><meta name="description" content="This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep lear..."/><meta name="application-name" content="Rectified Linear Unit (ReLU) | Deepgram"/><meta name="robots" content="index, follow"/><link rel="canonical" href="https://deepgram.com/ai-glossary/rectified-linear-unit-relu"/><meta property="og:site_name" content="Deepgram"/><meta property="og:type" content="website"/><meta property="og:url" content="https://deepgram.com/ai-glossary/rectified-linear-unit-relu"/><meta property="og:title" content="Rectified Linear Unit (ReLU) | Deepgram"/><meta property="og:description" content="This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep lear..."/><meta property="og:image" content="https://deepgram.com/images/deepgram.jpg"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:url" content="https://deepgram.com/ai-glossary/rectified-linear-unit-relu"/><meta property="twitter:title" content="Rectified Linear Unit (ReLU) | Deepgram"/><meta property="twitter:description" content="This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep lear..."/><meta name="twitter:image" content="https://deepgram.com/images/deepgram.jpg"/><meta name="next-head-count" content="18"/><link rel="icon" type="image/ico" href="/favicon.ico"/><link rel="alternate" type="application/rss+xml" title="Deepgram Blog" href="/blog.xml"/><link rel="alternate" type="application/rss+xml" title="Deepgram Product Changelog" href="/changelog.xml"/><link rel="preconnect" href="https://fonts.googleapis.com"/><link rel="preconnect" href="https://www.datocms-assets.com"/><link href="https://SKG3CU3YQM-dsn.algolia.net" rel="preconnect"/><link rel="preconnect" href="https://dev.visualwebsiteoptimizer.com"/><link rel="preload" href="/_next/static/media/94b6e65608830c16-s.p.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/85a34e4473a5211b-s.p.woff" as="font" type="font/woff" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/122c360d7fe6d395-s.p.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/a34f9d1faa5f3315-s.p.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><script id="gtm-script" data-nscript="beforeInteractive">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-PFZZ2KW');</script><script id="vwoCode" data-nscript="beforeInteractive">window._vwo_code || (function() { var account_id=836975, version=2.0, settings_tolerance=2000, hide_element='body', hide_element_style = 'opacity:0 !important;filter:alpha(opacity=0) !important;background:none !important', /* DO NOT EDIT BELOW THIS LINE */ f=false,w=window,d=document,v=d.querySelector('#vwoCode'),cK='_vwo_'+account_id+'_settings',cc={};try{var c=JSON.parse(localStorage.getItem('_vwo_'+account_id+'_config'));cc=c&&typeof c==='object'?c:{}}catch(e){}var stT=cc.stT==='session'?w.sessionStorage:w.localStorage;code={use_existing_jquery:function(){return typeof use_existing_jquery!=='undefined'?use_existing_jquery:undefined},library_tolerance:function(){return typeof library_tolerance!=='undefined'?library_tolerance:undefined},settings_tolerance:function(){return cc.sT||settings_tolerance},hide_element_style:function(){return'{'+(cc.hES||hide_element_style)+'}'},hide_element:function(){return typeof cc.hE==='string'?cc.hE:hide_element},getVersion:function(){return version},finish:function(){if(!f){f=true;var e=d.getElementById('_vis_opt_path_hides');if(e)e.parentNode.removeChild(e)}},finished:function(){return f},load:function(e){var t=this.getSettings(),n=d.createElement('script'),i=this;if(t){n.textContent=t;d.getElementsByTagName('head')[0].appendChild(n);if(!w.VWO||VWO.caE){stT.removeItem(cK);i.load(e)}}else{n.fetchPriority='high';n.src=e;n.type='text/javascript';n.onerror=function(){w._vwo_code.finish()};d.getElementsByTagName('head')[0].appendChild(n)}},getSettings:function(){try{var e=stT.getItem(cK);if(!e){return}e=JSON.parse(e);if(Date.now()>e.e){stT.removeItem(cK);return}return e.s}catch(e){return}},init:function(){if(d.URL.indexOf('__vwo_disable__')>-1)return;var e=this.settings_tolerance();w._vwo_settings_timer=setTimeout(function(){w._vwo_code.finish();stT.removeItem(cK)},e);var t=d.currentScript,n=d.createElement('style'),i=this.hide_element(),r=t&&!t.async&&i?i+this.hide_element_style():'',c=d.getElementsByTagName('head')[0];n.setAttribute('id','_vis_opt_path_hides');v&&n.setAttribute('nonce',v.nonce);n.setAttribute('type','text/css');if(n.styleSheet)n.styleSheet.cssText=r;else n.appendChild(d.createTextNode(r));c.appendChild(n);this.load('https://dev.visualwebsiteoptimizer.com/j.php?a='+account_id+'&u='+encodeURIComponent(d.URL)+'&vn='+version)}};w._vwo_code=code;code.init();})();(function(){var i=window;function t(){if(i._vwo_code){var e=t.hidingStyle=document.getElementById('_vis_opt_path_hides')||t.hidingStyle;if(!i._vwo_code.finished()&&!_vwo_code.libExecuted&&(!i.VWO||!VWO.dNR)){if(!document.getElementById('_vis_opt_path_hides')){document.getElementsByTagName('head')[0].appendChild(e)}requestAnimationFrame(t)}}}t()})(); </script><link rel="preload" href="/_next/static/css/6a3ee7e3cef6436e.css" as="style"/><link rel="stylesheet" href="/_next/static/css/6a3ee7e3cef6436e.css" data-n-g=""/><link rel="preload" href="/_next/static/css/0ac1d3211762396f.css" as="style"/><link rel="stylesheet" href="/_next/static/css/0ac1d3211762396f.css" data-n-p=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-42372ed130431b0a.js"></script><script defer="" src="/_next/static/chunks/628-8f36165c2ea698a1.js"></script><script defer="" src="/_next/static/chunks/8456-1624e6020d719d52.js"></script><script defer="" src="/_next/static/chunks/5254.4d7ef61d87532c60.js"></script><script defer="" src="/_next/static/chunks/7566.280ce4ac1e845bc9.js"></script><script defer="" src="/_next/static/chunks/8690-d534b1451d80a363.js"></script><script defer="" src="/_next/static/chunks/2059-6a030cf20bc7f9fe.js"></script><script defer="" src="/_next/static/chunks/7307-feae980d5990a9c0.js"></script><script defer="" src="/_next/static/chunks/9083-86f888a3b17182f9.js"></script><script defer="" src="/_next/static/chunks/9386-c2f98deed9295339.js"></script><script defer="" src="/_next/static/chunks/2971.4cd3a1a0179a89c8.js"></script><script src="/_next/static/chunks/webpack-9e7def764b0b598f.js" defer=""></script><script src="/_next/static/chunks/framework-3bc9684f49160ebb.js" defer=""></script><script src="/_next/static/chunks/main-22308e1d0651475f.js" defer=""></script><script src="/_next/static/chunks/pages/_app-e525b19da7007134.js" defer=""></script><script src="/_next/static/chunks/41155975-5640667a6f0199bf.js" defer=""></script><script src="/_next/static/chunks/cb355538-44c6a1ff313482ce.js" defer=""></script><script src="/_next/static/chunks/36d2f571-cca4dbf0b2ddb7f9.js" defer=""></script><script src="/_next/static/chunks/7834-8ee12c99ac56f8cc.js" defer=""></script><script src="/_next/static/chunks/6608-2751d1c8e663ca5d.js" defer=""></script><script src="/_next/static/chunks/2060-d5d1d32cdf04c77e.js" defer=""></script><script src="/_next/static/chunks/7540-a09c55cfc7128614.js" defer=""></script><script src="/_next/static/chunks/5854-3429b2f087589022.js" defer=""></script><script src="/_next/static/chunks/pages/ai-glossary/%5B%5B...slug%5D%5D-9daaa8941549dac0.js" defer=""></script><script src="/_next/static/aKlbLnwOcbS2I9rWB9BGQ/_buildManifest.js" defer=""></script><script src="/_next/static/aKlbLnwOcbS2I9rWB9BGQ/_ssgManifest.js" defer=""></script><style data-styled="" data-styled-version="5.3.11">html{-webkit-scroll-behavior:smooth;-moz-scroll-behavior:smooth;-ms-scroll-behavior:smooth;scroll-behavior:smooth;font-size:100%;}/*!sc*/ @media screen and (min-width:2500px){html html{font-size:17px;}}/*!sc*/ @media screen and (min-width:2750px){html html{font-size:18px;}}/*!sc*/ @media screen and (min-width:3000px){html html{font-size:19px;}}/*!sc*/ @media screen and (min-width:3250px){html html{font-size:20px;}}/*!sc*/ html,body,*{box-sizing:border-box;margin-block-start:0;margin-block-end:0;}/*!sc*/ body{font-family:var(--font-inter,sans-serif);background-color:#101014;}/*!sc*/ a{color:#79AFFA;-webkit-text-decoration:none;text-decoration:none;}/*!sc*/ a:hover{color:#ffffff;}/*!sc*/ code,kbd,pre,samp{font-family:ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,Liberation Mono,Courier New,monospace;font-size:1em;}/*!sc*/ code,pre{background-color:#1E2C3C;}/*!sc*/ data-styled.g1[id="sc-global-iqKa-Db1"]{content:"sc-global-iqKa-Db1,"}/*!sc*/ .bVCmMy{background:rgba(20,20,20,0.8);font-family:var(--font-inter,sans-serif);position:-webkit-sticky;position:sticky;top:0px;-webkit-transition:top 300ms ease-in-out;transition:top 300ms ease-in-out;left:0;width:100%;z-index:1000;}/*!sc*/ .jWQHwy{background:transparent;position:-webkit-sticky;position:sticky;top:0;left:0;width:100%;z-index:1000;}/*!sc*/ .bCQJFW{width:100%;margin-left:auto;margin-right:auto;}/*!sc*/ .eerUnR{width:16.5px;height:13px;position:relative;}/*!sc*/ .hEIHLV{height:-webkit-fit-content;height:-moz-fit-content;height:fit-content;line-height:1.5rem;width:100%;border-bottom:1px solid;border-color:#2C2C33;}/*!sc*/ @media screen and (min-width:768px){.hEIHLV{padding-left:0.5rem;}}/*!sc*/ @media screen and (min-width:1280px){.hEIHLV{height:100%;border-bottom:none;width:auto;background-color:transparent;padding-left:0;}}/*!sc*/ .fqJJID{position:relative;top:-1px;-webkit-transition:max-height .15s ease-in-out;transition:max-height .15s ease-in-out;overflow-x:hidden;overflow-y:hidden;background-color:#101014;max-height:0px;z-index:-1;pointer-events:none;padding-left:1rem;padding-right:1rem;}/*!sc*/ @media screen and (min-width:768px){.fqJJID{padding-left:2rem;padding-right:2rem;}}/*!sc*/ @media screen and (min-width:1280px){.fqJJID{padding-left:0;padding-right:0;display:none;}}/*!sc*/ .eWcIvK{width:100%;height:150px;border:1px solid;border-radius:6px;border-color:transparent;overflow-x:hidden;overflow-y:hidden;}/*!sc*/ @media screen and (min-width:375px){.eWcIvK{width:100%;height:auto;}}/*!sc*/ @media screen and (min-width:768px){.eWcIvK{width:100%;height:auto;}}/*!sc*/ .ipShUF{width:28px;height:28px;padding:0.25rem;border-radius:6px;overflow-x:hidden;overflow-y:hidden;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;}/*!sc*/ .chAbBM{width:100%;position:relative;z-index:10;}/*!sc*/ .gKLLRj{background-color:#000000;height:100%;width:100%;max-width:640px;padding-left:1rem;padding-right:1rem;margin-left:auto;margin-right:auto;}/*!sc*/ @media screen and (min-width:576px){.gKLLRj{max-width:768px;padding-left:2rem;padding-right:2rem;}}/*!sc*/ @media screen and (min-width:768px){.gKLLRj{max-width:1024px;}}/*!sc*/ @media screen and (min-width:992px){.gKLLRj{max-width:1280px;}}/*!sc*/ .csGpzP{grid-column:1/2;}/*!sc*/ @media screen and (min-width:992px){.csGpzP{grid-column:2/3;padding-left:2rem;}}/*!sc*/ .jgEMAk{font-size:0.875rem;font-style:italic;}/*!sc*/ .cqhOOc{grid-column:1/2;grid-row:1/2;height:100%;}/*!sc*/ @media screen and (min-width:992px){.cqhOOc{grid-row:1/2;border-right:1px solid #2C2C33;}}/*!sc*/ .jWSoNY{width:100%;border-bottom:2px solid;border-color:#2C2C33;padding-left:1rem;padding-right:1rem;padding-top:0.5rem;padding-bottom:0.5rem;}/*!sc*/ .hzUpmg{width:100%;max-width:640px;padding-left:1rem;padding-right:1rem;margin-left:auto;margin-right:auto;position:relative;z-index:10;}/*!sc*/ @media screen and (min-width:576px){.hzUpmg{max-width:768px;padding-left:2rem;padding-right:2rem;}}/*!sc*/ @media screen and (min-width:768px){.hzUpmg{max-width:1024px;}}/*!sc*/ @media screen and (min-width:992px){.hzUpmg{max-width:1280px;}}/*!sc*/ .jUEsCq{padding-top:3rem;padding-bottom:3rem;background-color:#0B0B0C;box-shadow:0 50vh 0 50vh rgba(11,11,12,1);position:relative;z-index:10;}/*!sc*/ @media screen and (min-width:576px){.jUEsCq{padding-bottom:4.5rem;padding-top:6rem;}}/*!sc*/ @media screen and (min-width:1280px){.jUEsCq{padding-bottom:6rem;}}/*!sc*/ .jBxPcy{max-width:640px;padding-left:1rem;padding-right:1rem;margin-left:auto;margin-right:auto;}/*!sc*/ @media screen and (min-width:576px){.jBxPcy{max-width:768px;padding-left:2rem;padding-right:2rem;}}/*!sc*/ @media screen and (min-width:768px){.jBxPcy{max-width:1024px;}}/*!sc*/ @media screen and (min-width:992px){.jBxPcy{max-width:1280px;}}/*!sc*/ data-styled.g2[id="sc-6293d692-0"]{content:"bVCmMy,jWQHwy,bCQJFW,eerUnR,hEIHLV,fqJJID,eWcIvK,ipShUF,chAbBM,gKLLRj,csGpzP,jgEMAk,cqhOOc,jWSoNY,hzUpmg,jUEsCq,jBxPcy,"}/*!sc*/ .hVNegh{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;margin-left:auto;margin-right:auto;box-shadow:unset;width:100%;overflow-x:inherit;}/*!sc*/ .ehhiOD{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;text-align:center;padding-left:1.5rem;padding-right:1.5rem;max-width:1264px;margin-left:auto;margin-right:auto;height:60px;-webkit-box-pack:justify;-webkit-justify-content:space-between;-ms-flex-pack:justify;justify-content:space-between;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;}/*!sc*/ @media screen and (min-width:768px){.ehhiOD{padding-left:2rem;padding-right:2rem;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:56px;}}/*!sc*/ @media screen and (min-width:1280px){.ehhiOD{height:84px;}}/*!sc*/ .fVTUpQ{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding-top:0.5rem;padding-bottom:0.5rem;background-color:transparent;position:relative;z-index:200;}/*!sc*/ @media screen and (min-width:1280px){.fVTUpQ{display:none;}}/*!sc*/ .iMdtXa{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;height:-webkit-fit-content;height:-moz-fit-content;height:fit-content;}/*!sc*/ .bffmgp{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;-ms-flex-pack:justify;justify-content:space-between;width:100%;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ .bIAVyz{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:end;-webkit-justify-content:flex-end;-ms-flex-pack:end;justify-content:flex-end;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:16px;width:100%;}/*!sc*/ .kNFNkL{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ @media screen and (min-width:1280px){.kNFNkL{display:none;}}/*!sc*/ .girkTs{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;gap:0px;padding:0;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;position:absolute;top:100%;left:0;width:100%;margin:0;z-index:100;background-color:#0B0B0C;-webkit-transition:height 0.2s ease-in-out;transition:height 0.2s ease-in-out;height:0px;overflow-x:hidden;overflow-y:auto;padding-top:0;padding-bottom:0;padding-left:0;padding-right:0;}/*!sc*/ @media screen and (min-width:768px){.girkTs{padding-left:2rem;padding-right:2rem;}}/*!sc*/ @media screen and (min-width:1280px){.girkTs{padding-left:0;padding-right:0;padding-top:0;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;position:unset;width:auto;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;-ms-flex-pack:justify;justify-content:space-between;min-height:60px;gap:20px;background-color:transparent;overflow-x:visible;overflow-y:visible;}}/*!sc*/ .bCtuFU{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding-top:0.5rem;padding-bottom:0.5rem;background-color:transparent;position:relative;z-index:200;display:none;}/*!sc*/ @media screen and (min-width:1280px){.bCtuFU{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}}/*!sc*/ .cBRNHO{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:0;}/*!sc*/ @media screen and (min-width:1280px){.cBRNHO{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;gap:20px;height:100%;}}/*!sc*/ .gbwWMz{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;width:100%;background-color:#0B0B0C;color:#A9A9AD;}/*!sc*/ @media screen and (min-width:1280px){.gbwWMz{height:100%;width:auto;background-color:transparent;color:#0B0B0C;}}/*!sc*/ .caCSrG{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:justify;-webkit-justify-content:space-between;-ms-flex-pack:justify;justify-content:space-between;gap:4px;height:-webkit-fit-content;height:-moz-fit-content;height:fit-content;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;width:100%;border-radius:5px;}/*!sc*/ @media screen and (min-width:1280px){.caCSrG{padding-top:0.25rem;padding-bottom:0.25rem;width:auto;}}/*!sc*/ .fxtsZN{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transform:rotateX(0deg);-ms-transform:rotateX(0deg);transform:rotateX(0deg);-webkit-transition:-webkit-transform .15s ease-in-out;-webkit-transition:transform .15s ease-in-out;transition:transform .15s ease-in-out;margin-right:1.5rem;}/*!sc*/ @media screen and (min-width:768px){.fxtsZN{margin-right:2rem;}}/*!sc*/ @media screen and (min-width:1280px){.fxtsZN{margin-right:0;}}/*!sc*/ .iIvmda{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;row-gap:24px;}/*!sc*/ @media screen and (min-width:768px){.iIvmda{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}/*!sc*/ .fXUJvn{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;background-color:#101014;}/*!sc*/ .jbARwL{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex:1;-ms-flex:1;flex:1;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}/*!sc*/ @media screen and (min-width:768px){.jbARwL{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}/*!sc*/ @media screen and (min-width:1280px){.jbARwL{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}/*!sc*/ .eFYjSa{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0px;background-color:#101014;color:#ffffff;text-align:left;padding-top:0.25rem;padding-bottom:0.25rem;padding-right:1.5rem;-webkit-flex:1;-ms-flex:1;flex:1;}/*!sc*/ @media screen and (min-width:768px){.eFYjSa{padding-top:1.5rem;padding-bottom:1.5rem;}}/*!sc*/ @media screen and (min-width:1280px){.eFYjSa{gap:0px;max-width:315px;}}/*!sc*/ .gYFcFc{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding-bottom:1.25rem;}/*!sc*/ @media screen and (min-width:768px){}/*!sc*/ .eTCxuy{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}/*!sc*/ .ldsYPN{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;row-gap:8px;}/*!sc*/ @media screen and (min-width:576px){.ldsYPN{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}/*!sc*/ @media screen and (min-width:768px){.ldsYPN{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;}}/*!sc*/ @media screen and (min-width:1280px){.ldsYPN{width:-webkit-min-content;width:-moz-min-content;width:min-content;}}/*!sc*/ .dMJoKC{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;gap:8px;position:relative;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;-webkit-flex-basis:0;-ms-flex-preferred-size:0;flex-basis:0;-webkit-flex:0 0 100%;-ms-flex:0 0 100%;flex:0 0 100%;width:-webkit-max-content;width:-moz-max-content;width:max-content;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ .dMJoKC:hover{color:#13EF93;}/*!sc*/ .gCajMv{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;gap:12px;position:relative;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;}/*!sc*/ .ftcNci{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;border:1px solid #2C2C33;border-radius:4px;background:#19191C;}/*!sc*/ .guuHrd{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:6px;position:relative;z-index:1;max-width:432px;}/*!sc*/ .hiDOHk{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:8px;background-color:#1A1A1F;color:#ffffff;text-align:left;padding:1.5rem;width:calc(100%);-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;}/*!sc*/ @media screen and (min-width:768px){.hiDOHk{width:calc(50% + 32px);padding-top:1.5rem;}}/*!sc*/ @media screen and (min-width:1280px){.hiDOHk{gap:0;max-width:350px;width:50%;min-width:350px;}}/*!sc*/ .lePzZD{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;-ms-flex-pack:justify;justify-content:space-between;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;width:100%;}/*!sc*/ @media screen and (min-width:768px){}/*!sc*/ .ddioGD{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;z-index:1;}/*!sc*/ .gzWdaa{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex:1 0 0;-ms-flex:1 0 0;flex:1 0 0;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0px;}/*!sc*/ .fJWxEy{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;background-color:transparent;color:#ffffff;border:1px solid;border-color:transparent;overflow-x:hidden;overflow-y:hidden;width:100%;height:100%;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;padding:1rem;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}/*!sc*/ .fJWxEy:hover{box-shadow:none;border-radius:6px;}/*!sc*/ .fvbMGK{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:100%;height:100%;}/*!sc*/ .biWqHE{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0px;min-height:-webkit-fit-content;min-height:-moz-fit-content;min-height:fit-content;padding-left:0;padding-right:0;padding-bottom:0;padding-top:1rem;-webkit-flex:1;-ms-flex:1;flex:1;}/*!sc*/ .exshrD{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0px;background-color:#101014;color:#ffffff;text-align:left;padding-top:0.25rem;padding-bottom:0.25rem;padding-right:1.5rem;-webkit-flex:1;-ms-flex:1;flex:1;}/*!sc*/ @media screen and (min-width:768px){.exshrD{padding-top:1.5rem;padding-bottom:1.5rem;}}/*!sc*/ @media screen and (min-width:1280px){.exshrD{gap:0px;max-width:600px;}}/*!sc*/ .ljypZA{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;gap:8px;position:relative;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;}/*!sc*/ .iNSltq{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;border:none;border-radius:4px;}/*!sc*/ .bcBFEg{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:12px;padding-top:0.75rem;padding-bottom:0.75rem;padding-right:1.5rem;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;-webkit-flex:1;-ms-flex:1;flex:1;}/*!sc*/ @media screen and (min-width:768px){.bcBFEg{padding-top:1.5rem;padding-bottom:1.5rem;}}/*!sc*/ .ldePaW{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:12px;}/*!sc*/ .iKGCvS{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:16px;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;padding-top:1rem;padding-left:1.5rem;padding-right:1.5rem;-webkit-box-pack:end;-webkit-justify-content:flex-end;-ms-flex-pack:end;justify-content:flex-end;}/*!sc*/ @media screen and (min-width:768px){.iKGCvS{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;padding-top:3rem;}}/*!sc*/ @media screen and (min-width:1280px){.iKGCvS{padding-left:0;padding-right:0;padding-top:0;}}/*!sc*/ .jUgQHG{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;display:none;position:absolute;left:0px;right:0px;top:0px;height:0;background:#000000e0;z-index:-1;}/*!sc*/ @media screen and (min-width:1280px){.jUgQHG{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}}/*!sc*/ .iLVWKa{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:100%;padding-top:2.5rem;padding-bottom:2.5rem;overflow-x:hidden;overflow-y:hidden;padding-top:3rem;padding-bottom:3rem;}/*!sc*/ @media screen and (min-width:576px){.iLVWKa{padding-top:4.5rem;padding-bottom:4.5rem;}}/*!sc*/ @media screen and (min-width:992px){}/*!sc*/ @media screen and (min-width:1280px){.iLVWKa{padding-top:6rem;padding-bottom:6rem;}}/*!sc*/ .doHfou{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ .hMGZHr{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:100%;padding-top:0;padding-bottom:0;}/*!sc*/ @media screen and (min-width:576px){.hMGZHr{padding-top:0;padding-bottom:0;}}/*!sc*/ @media screen and (min-width:992px){.hMGZHr{padding-top:0;padding-bottom:0;}}/*!sc*/ .hhtFqm{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding-top:2rem;padding-bottom:2rem;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}/*!sc*/ .btkfVN{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;margin-bottom:0.75rem;}/*!sc*/ .dJCIVv{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:24px;}/*!sc*/ .fJkbQy{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ .hfDdWp{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:24px;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;padding-bottom:2.5rem;}/*!sc*/ @media screen and (min-width:1280px){.hfDdWp{padding-top:1.5rem;padding-bottom:1.5rem;}}/*!sc*/ .dslPBO{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding-left:0;gap:16px;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;margin-left:1.25rem;margin-top:1.5rem;}/*!sc*/ .PRHwk{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;gap:8px;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;position:relative;}/*!sc*/ .ldWHw{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:8px;width:100%;max-width:100%;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ .iLvNR{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;height:-webkit-fit-content;height:-moz-fit-content;height:fit-content;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ @media screen and (min-width:576px){.iLvNR{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}}/*!sc*/ .bsQzxX{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:10px;width:100%;color:#ffffff;-webkit-align-self:start;-ms-flex-item-align:start;align-self:start;}/*!sc*/ @media screen and (min-width:768px){.bsQzxX{position:-webkit-sticky;position:sticky;top:100px;}}/*!sc*/ .etKoXp{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;width:100%;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:24px;padding-top:2rem;}/*!sc*/ @media screen and (min-width:992px){.etKoXp{padding-top:2rem;padding-bottom:2rem;padding-left:2rem;}}/*!sc*/ .ejPsAh{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;gap:8px;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ @media screen and (min-width:992px){.ejPsAh{display:none;}}/*!sc*/ .bgSXGu{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}/*!sc*/ @media screen and (min-width:992px){.bgSXGu{padding-right:2rem;}}/*!sc*/ .fVRrfC{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;display:none;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:8px;background-color:#000000;border-color:#E1E1E5;border:1px solid;border-radius:8px;max-height:300px;overflow-y:auto;position:absolute;top:42px;width:100%;z-index:999;}/*!sc*/ @media screen and (min-width:992px){.fVRrfC{width:calc(100% - 32px);}}/*!sc*/ .goWpow{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;padding:0.125rem;}/*!sc*/ .kpvNPn{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:24px;max-height:calc(60vh);}/*!sc*/ @media screen and (min-width:992px){.kpvNPn{overflow-y:auto;}}/*!sc*/ .hrNfIL{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:12px;padding-bottom:1rem;}/*!sc*/ .itDcJo{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;display:none;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:12px;padding-left:0;}/*!sc*/ @media screen and (min-width:992px){.itDcJo{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}}/*!sc*/ .drAJUB{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:8px;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;border-radius:16px;border:none;cursor:pointer;padding-left:0.5rem;padding-right:0.5rem;padding-top:0.25rem;padding-bottom:0.25rem;height:32px;-webkit-transition:color 0.15s ease,background-color 0.15s ease;transition:color 0.15s ease,background-color 0.15s ease;background-color:transparent;color:#E1E1E5;}/*!sc*/ .drAJUB:hover{background-color:transparent;color:#A9A9AD;}/*!sc*/ .juchfq{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ @media screen and (min-width:992px){.juchfq{display:none;}}/*!sc*/ .bjeAPm{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;width:100%;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:4px;}/*!sc*/ .eblIrO{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;display:none;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:12px;}/*!sc*/ @media screen and (min-width:992px){.eblIrO{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}}/*!sc*/ .gAaKYn{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:100%;padding-top:2.5rem;padding-bottom:2.5rem;overflow-x:hidden;overflow-y:hidden;}/*!sc*/ @media screen and (min-width:576px){.gAaKYn{padding-top:6rem;padding-bottom:6rem;}}/*!sc*/ @media screen and (min-width:992px){}/*!sc*/ .kUNxIf{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;padding-top:0.625rem;padding-bottom:0.625rem;gap:24px;}/*!sc*/ @media screen and (min-width:576px){.kUNxIf{gap:40px;}}/*!sc*/ .kptHGM{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;width:100%;gap:24px;}/*!sc*/ @media screen and (min-width:992px){.kptHGM{-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;-webkit-box-pack:justify;-webkit-justify-content:space-between;-ms-flex-pack:justify;justify-content:space-between;}}/*!sc*/ .djSuqG{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:8px;color:#ffffff;}/*!sc*/ .iPwPdJ{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;position:relative;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:100%;height:-webkit-fit-content;height:-moz-fit-content;height:fit-content;}/*!sc*/ .fjoWTd{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;gap:26px;-webkit-box-pack:start;-webkit-justify-content:flex-start;-ms-flex-pack:start;justify-content:flex-start;margin-top:1rem;}/*!sc*/ .dPQBOW{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:16px;}/*!sc*/ .hRljnq{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:12px;}/*!sc*/ .iyzYAr{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding-top:1.25rem;border-top:1px solid;border-color:#2C2C33;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ data-styled.g3[id="sc-ace17a57-0"]{content:"hVNegh,ehhiOD,fVTUpQ,iMdtXa,bffmgp,bIAVyz,kNFNkL,girkTs,bCtuFU,cBRNHO,gbwWMz,caCSrG,fxtsZN,iIvmda,fXUJvn,jbARwL,eFYjSa,gYFcFc,eTCxuy,ldsYPN,dMJoKC,gCajMv,ftcNci,guuHrd,hiDOHk,lePzZD,ddioGD,gzWdaa,fJWxEy,fvbMGK,biWqHE,exshrD,ljypZA,iNSltq,bcBFEg,ldePaW,iKGCvS,jUgQHG,iLVWKa,doHfou,hMGZHr,hhtFqm,btkfVN,dJCIVv,fJkbQy,hfDdWp,dslPBO,PRHwk,ldWHw,iLvNR,bsQzxX,etKoXp,ejPsAh,bgSXGu,fVRrfC,goWpow,kpvNPn,hrNfIL,itDcJo,drAJUB,juchfq,bjeAPm,eblIrO,gAaKYn,kUNxIf,kptHGM,djSuqG,iPwPdJ,fjoWTd,dPQBOW,hRljnq,iyzYAr,"}/*!sc*/ .qCkfD{display:grid;height:100%;min-height:100vh;width:100%;grid-template-rows:auto;grid-template-columns:unset;grid-row:2/3;}/*!sc*/ @media screen and (min-width:992px){.qCkfD{grid-template-rows:unset;grid-template-columns:minmax(0,30fr) minmax(0,70fr);}}/*!sc*/ @media screen and (min-width:1280px){.qCkfD{grid-template-columns:minmax(0,30fr) minmax(0,70fr);}}/*!sc*/ .bnHyYY{display:grid;display:none;grid-template-columns:repeat(9,1fr);gap:12px 4px;padding-left:0;}/*!sc*/ @media screen and (min-width:992px){.bnHyYY{display:grid;padding-right:2rem;}}/*!sc*/ .fmBAXw{display:grid;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;gap:30px;grid-template-columns:repeat(2,minmax(0,1fr));}/*!sc*/ @media screen and (min-width:768px){.fmBAXw{grid-template-columns:repeat(3,minmax(0,1fr));}}/*!sc*/ @media screen and (min-width:1280px){.fmBAXw{grid-template-columns:repeat(6,minmax(0,1fr));}}/*!sc*/ data-styled.g4[id="sc-662dedcb-0"]{content:"qCkfD,bnHyYY,fmBAXw,"}/*!sc*/ .htUWGk{font-size:3rem;line-height:3.75rem;-webkit-letter-spacing:-0.02em;-moz-letter-spacing:-0.02em;-ms-letter-spacing:-0.02em;letter-spacing:-0.02em;font-weight:700;font-size:3rem;font-family:var(--font-roobert,sans-serif);font-feature-settings:'liga' 0,'dlig' 0,'hlig' 0,'ordn' 0,'ss09' 1,'kern' 1;font-kerning:normal;}/*!sc*/ .kIEulY{font-size:3rem;line-height:3.75rem;-webkit-letter-spacing:-0.02em;-moz-letter-spacing:-0.02em;-ms-letter-spacing:-0.02em;letter-spacing:-0.02em;font-weight:700;}/*!sc*/ .cGaypB{font-size:2.25rem;line-height:2.75rem;-webkit-letter-spacing:-0.02em;-moz-letter-spacing:-0.02em;-ms-letter-spacing:-0.02em;letter-spacing:-0.02em;font-weight:700;}/*!sc*/ .gSWJsZ{font-size:1.875rem;line-height:2.375rem;-webkit-letter-spacing:0em;-moz-letter-spacing:0em;-ms-letter-spacing:0em;letter-spacing:0em;font-weight:700;}/*!sc*/ .fLfQKM{font-size:1.5rem;line-height:2rem;-webkit-letter-spacing:0em;-moz-letter-spacing:0em;-ms-letter-spacing:0em;letter-spacing:0em;font-weight:700;font-family:var(--font-inter,sans-serif);font-size:1.125rem;font-weight:600;color:#ffffff;}/*!sc*/ data-styled.g5[id="sc-4555ca6a-0"]{content:"htUWGk,kIEulY,cGaypB,gSWJsZ,fLfQKM,"}/*!sc*/ .kTZeVj{cursor:pointer;width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ .cCnzAI{cursor:pointer;-webkit-text-decoration:none;text-decoration:none;color:#CECED2;}/*!sc*/ .ecplwP{cursor:pointer;display:-webkit-box;height:100%;width:100%;-webkit-flex:1;-ms-flex:1;flex:1;overflow-x:hidden;overflow-y:hidden;position:relative;}/*!sc*/ .bkHGsI{cursor:pointer;}/*!sc*/ .cdgacq{cursor:pointer;font-size:1.25rem;font-weight:500;display:block;cursor:pointer;width:100%;padding-left:1rem;padding-right:1rem;padding-top:1.5rem;padding-bottom:1.5rem;text-transform:none;text-align:left;-webkit-transition:color .15s ease-in-out;transition:color .15s ease-in-out;color:#A9A9AD;-webkit-text-decoration:none;text-decoration:none;}/*!sc*/ @media screen and (min-width:768px){.cdgacq{padding-left:2rem;padding-right:2rem;padding-top:1.5rem;padding-bottom:1.5rem;}}/*!sc*/ @media screen and (min-width:1280px){.cdgacq{padding:0;font-size:1rem;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;}}/*!sc*/ .cdgacq:hover{color:#13EF93;}/*!sc*/ .fobbYG{cursor:pointer;color:#ffffff;}/*!sc*/ .fobbYG:hover{color:#79AFFA;}/*!sc*/ .eriglH{cursor:pointer;color:#A9A9AD;}/*!sc*/ .eriglH:hover{color:#79AFFA;}/*!sc*/ .kmKRMV{cursor:pointer;padding-top:0.25rem;padding-bottom:0.25rem;padding-left:0.75rem;padding-right:0.75rem;color:#E1E1E5;font-size:1.125rem;font-weight:500;}/*!sc*/ .kmKRMV:hover{color:#81F4B4;}/*!sc*/ .iUnKGS{cursor:pointer;padding-top:0.25rem;padding-bottom:0.25rem;padding-left:0.75rem;padding-right:0.75rem;color:#13EF93;font-size:1.125rem;font-weight:500;}/*!sc*/ .iUnKGS:hover{color:#81F4B4;}/*!sc*/ .bKOSlQ{cursor:pointer;color:#E1E1E5;font-size:1.125rem;font-weight:500;}/*!sc*/ .dsCZKx{cursor:pointer;padding-left:1rem;padding-right:1rem;padding-top:0.5rem;padding-bottom:0.5rem;color:#E1E1E5;font-size:1.125rem;font-weight:500;}/*!sc*/ .dsCZKx:hover{color:#81F4B4;}/*!sc*/ .ezFGlW{cursor:pointer;padding-left:1rem;padding-right:1rem;padding-top:0.5rem;padding-bottom:0.5rem;color:#13EF93;font-size:1.125rem;font-weight:500;}/*!sc*/ .ezFGlW:hover{color:#81F4B4;}/*!sc*/ .bubdiz{cursor:pointer;font-family:var(--font-inter,sans-serif);font-size:0.875rem;line-height:1.25rem;color:#88888C;-webkit-text-decoration:none;text-decoration:none;-webkit-transition:color 0.2s ease-in;transition:color 0.2s ease-in;}/*!sc*/ .bubdiz:hover{color:#ffffff;}/*!sc*/ data-styled.g6[id="sc-e69ac761-0"]{content:"kTZeVj,cCnzAI,ecplwP,bkHGsI,cdgacq,fobbYG,eriglH,kmKRMV,iUnKGS,bKOSlQ,dsCZKx,ezFGlW,bubdiz,"}/*!sc*/ .btXZGI{position:relative;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;line-height:1;z-index:1;}/*!sc*/ .fAyXOw{display:block;position:absolute;height:2px;width:100%;opacity:1;left:0;-webkit-transition:.25s ease-in-out;transition:.25s ease-in-out;background-color:#ffffff;top:0;-webkit-transform:rotate(0);-ms-transform:rotate(0);transform:rotate(0);}/*!sc*/ .jYoQJr{display:block;position:absolute;height:2px;width:100%;opacity:1;left:0;-webkit-transition:.25s ease-in-out;transition:.25s ease-in-out;background-color:#ffffff;top:6px;}/*!sc*/ .bzvkpX{display:block;position:absolute;height:2px;width:100%;opacity:1;left:0;-webkit-transition:.25s ease-in-out;transition:.25s ease-in-out;background-color:#ffffff;top:12px;-webkit-transform:rotate(0);-ms-transform:rotate(0);transform:rotate(0);}/*!sc*/ .kzoxAi{font-size:1.25rem;font-weight:500;display:block;cursor:pointer;width:100%;padding-left:1rem;padding-right:1rem;padding-top:1.5rem;padding-bottom:1.5rem;text-transform:none;text-align:left;-webkit-transition:color .15s ease-in-out;transition:color .15s ease-in-out;color:#A9A9AD;}/*!sc*/ @media screen and (min-width:768px){.kzoxAi{width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;padding-left:2rem;padding-right:2rem;padding-top:1.5rem;padding-bottom:1.5rem;}}/*!sc*/ @media screen and (min-width:1280px){.kzoxAi{padding:0;font-size:1rem;}}/*!sc*/ .gIJLbd{font:0.875rem/1.25rem var(--font-inter,sans-serif);display:block;color:#88888C;width:auto;}/*!sc*/ .hHDluE{font-weight:500;text-align:left;position:relative;background-color:#101014;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;color:#CECED2;}/*!sc*/ .lnJhVG{font-size:0.75rem;color:#88888C;text-align:left;}/*!sc*/ .ilnsGr{font:0.875rem/1.25rem var(--font-inter,sans-serif);display:block;height:36px;color:#88888C;}/*!sc*/ @media screen and (min-width:1280px){.ilnsGr{height:auto;}}/*!sc*/ .fcPowg{position:relative;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;z-index:1;}/*!sc*/ .bZmEHx{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;}/*!sc*/ .iNRMrC{font:0.875rem/1.25rem var(--font-inter,sans-serif);font-weight:600;}/*!sc*/ .jUNaqu{font:0.75rem/1.125rem var(--font-inter,sans-serif);color:#88888C;}/*!sc*/ .fmcyDO{font-size:0.875rem;text-align:left;-webkit-transition:0.1s linear 0s;transition:0.1s linear 0s;}/*!sc*/ .JYZsj{font-size:1.875rem;-webkit-letter-spacing:-0.02em;-moz-letter-spacing:-0.02em;-ms-letter-spacing:-0.02em;letter-spacing:-0.02em;line-height:2.75rem;color:#ffffff;font-weight:600;font-family:var(--font-roobert,sans-serif);font-feature-settings:'liga' 0,'dlig' 0,'hlig' 0,'ordn' 0,'ss09' 1,'kern' 1;font-kerning:normal;}/*!sc*/ @media screen and (min-width:768px){.JYZsj{font-size:2.25rem;}}/*!sc*/ .caUwZV{font-weight:700;}/*!sc*/ .hqcSqI{padding-left:0.25rem;padding-right:0.25rem;border-radius:3px;font:1rem/1.5rem var(--font-inter,sans-serif);font-family:var(--font-fira-code,monospace);}/*!sc*/ .gWWWKc{font-size:1rem;}/*!sc*/ .lnNnlT{color:#E1E1E5;font-size:1.125rem;font-weight:500;padding-right:1rem;}/*!sc*/ .dKGACE{padding-left:0.25rem;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;}/*!sc*/ .jBPWIy{font-size:1.125rem;font-weight:500;}/*!sc*/ .jOcNrR{font:0.875rem/1.25rem var(--font-inter,sans-serif);font-weight:500;color:#616165;}/*!sc*/ .hIsFvR{display:none;color:#E1E1E5;font-size:1.125rem;font-weight:500;padding-right:1rem;}/*!sc*/ @media screen and (min-width:992px){.hIsFvR{display:block;}}/*!sc*/ .eThfML{color:#E1E1E5;font-size:1.125rem;font-weight:500;padding-right:1rem;}/*!sc*/ @media screen and (min-width:992px){.eThfML{display:none;}}/*!sc*/ .jgUCVJ{color:#E1E1E5;font-size:1.125rem;font-weight:500;}/*!sc*/ .fvIpti{color:#13EF93;font-size:1.125rem;font-weight:500;}/*!sc*/ .esKgrX{font-size:0.875rem;font-weight:400;font-family:var(--font-inter,sans-serif);color:#BBBBBF;}/*!sc*/ .fNHedI{text-align:left;font-size:1rem;font-weight:400;}/*!sc*/ .csXpZL{font-family:var(--font-inter,sans-serif);}/*!sc*/ .eDwhGn{height:18px;border-left:1px solid;border-color:#88888C;margin-left:0.5rem;margin-right:0.5rem;}/*!sc*/ .bhNNuo{font-family:var(--font-inter,sans-serif);font-size:0.875rem;line-height:1.25rem;color:#88888C;}/*!sc*/ data-styled.g8[id="sc-b323b31-0"]{content:"btXZGI,fAyXOw,jYoQJr,bzvkpX,kzoxAi,gIJLbd,hHDluE,lnJhVG,ilnsGr,fcPowg,bZmEHx,iNRMrC,jUNaqu,fmcyDO,JYZsj,caUwZV,hqcSqI,gWWWKc,lnNnlT,dKGACE,jBPWIy,jOcNrR,hIsFvR,eThfML,jgUCVJ,fvIpti,esKgrX,fNHedI,csXpZL,eDwhGn,bhNNuo,"}/*!sc*/ .kritbo img{max-width:100%;height:auto;}/*!sc*/ data-styled.g9[id="sc-5f7d928-0"]{content:"kritbo,"}/*!sc*/ .eAcnIZ{background-repeat:no-repeat;--bgposX:0%;--bgposY:0%;background:common-black;background-size:cover,100% 100%;-webkit-animation:unset 5s infinite;animation:unset 5s infinite;}/*!sc*/ @-webkit-keyframes moveBackground{0%{background-position:0 0;}25%{background-position:15px 20px;}50%{background-position:-10px 30px;}75%{background-position:10px -15px;}100%{background-position:0 0;}}/*!sc*/ @keyframes moveBackground{0%{background-position:0 0;}25%{background-position:15px 20px;}50%{background-position:-10px 30px;}75%{background-position:10px -15px;}100%{background-position:0 0;}}/*!sc*/ .dJJSTR{background-repeat:no-repeat;--bgposX:0%;--bgposY:0%;background:#000000;background-size:cover,100% 100%;-webkit-animation:unset 5s infinite;animation:unset 5s infinite;}/*!sc*/ @-webkit-keyframes moveBackground{0%{background-position:0 0;}25%{background-position:15px 20px;}50%{background-position:-10px 30px;}75%{background-position:10px -15px;}100%{background-position:0 0;}}/*!sc*/ @keyframes moveBackground{0%{background-position:0 0;}25%{background-position:15px 20px;}50%{background-position:-10px 30px;}75%{background-position:10px -15px;}100%{background-position:0 0;}}/*!sc*/ data-styled.g12[id="sc-b22001da-2"]{content:"eAcnIZ,dJJSTR,"}/*!sc*/ .jTMTOn{height:auto;max-width:100%;object-fit:cover;}/*!sc*/ data-styled.g14[id="sc-3ec8aa52-0"]{content:"jTMTOn,"}/*!sc*/ .iBHmhe *{-webkit-box-pack:start;-webkit-justify-content:flex-start;-ms-flex-pack:start;justify-content:flex-start;}/*!sc*/ @media screen and (min-width:768px){.iBHmhe *{max-height:50px;}}/*!sc*/ @media screen and (min-width:992px){.iBHmhe *{max-height:unset;}}/*!sc*/ .iBHmhe img{height:auto;object-fit:cover;width:172px;}/*!sc*/ @media screen and (min-width:992px){.iBHmhe img{width:250px;}}/*!sc*/ data-styled.g16[id="sc-acb32398-0"]{content:"iBHmhe,"}/*!sc*/ .hdVSqo{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;width:20px;height:20px;border-radius:50%;-webkit-transition:all 0.3s ease;transition:all 0.3s ease;opacity:0.3;}/*!sc*/ .hdVSqo svg{color:#ffffff;font-size:20px;-webkit-transition:all 0.3s ease;transition:all 0.3s ease;}/*!sc*/ .hdVSqo:hover{opacity:1;}/*!sc*/ .hdVSqo:hover svg{color:#13ef95;}/*!sc*/ data-styled.g18[id="sc-acb32398-2"]{content:"hdVSqo,"}/*!sc*/ .iLxlh{font-size:12px;line-height:18px;color:#dbdbdb;}/*!sc*/ data-styled.g19[id="sc-acb32398-3"]{content:"iLxlh,"}/*!sc*/ .hctdIg.hctdIg.hctdIg{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-text-decoration:none;text-decoration:none;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;cursor:pointer;padding:0.5rem;background-color:transparent;border:none;outline:none;}/*!sc*/ .hctdIg.hctdIg.hctdIg:focus{outline:1px solid #fff;}/*!sc*/ .fqnlbI.fqnlbI.fqnlbI{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-text-decoration:none;text-decoration:none;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;color:#E1E1E5;}/*!sc*/ @media screen and (min-width:576px){.fqnlbI.fqnlbI.fqnlbI{width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;margin-left:0;margin-right:0;}}/*!sc*/ @media screen and (min-width:1280px){.fqnlbI.fqnlbI.fqnlbI{width:auto;height:auto;}}/*!sc*/ .cIekQB.cIekQB.cIekQB{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-text-decoration:none;text-decoration:none;width:100%;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;margin-left:auto;margin-right:auto;}/*!sc*/ @media screen and (min-width:576px){.cIekQB.cIekQB.cIekQB{width:100%;margin-left:0;margin-right:0;}}/*!sc*/ @media screen and (min-width:1280px){.cIekQB.cIekQB.cIekQB{width:auto;}}/*!sc*/ .zDyKW.zDyKW.zDyKW{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-text-decoration:none;text-decoration:none;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;color:#E1E1E5;font-size:1.125rem;font-weight:500;}/*!sc*/ .iotBFW.iotBFW.iotBFW{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-text-decoration:none;text-decoration:none;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;-webkit-transition:color 150ms ease-in-out;transition:color 150ms ease-in-out;color:#E1E1E5;font-size:1.125rem;font-weight:500;}/*!sc*/ .iotBFW.iotBFW.iotBFW:hover{color:#81F4B4;}/*!sc*/ .dTOZsF.dTOZsF.dTOZsF{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-text-decoration:none;text-decoration:none;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;-webkit-box-pack:center;-webkit-justify-content:center;-ms-flex-pack:center;justify-content:center;-webkit-transition:color 150ms ease-in-out;transition:color 150ms ease-in-out;color:#13EF93;font-size:1.125rem;font-weight:500;}/*!sc*/ .dTOZsF.dTOZsF.dTOZsF:hover{color:#81F4B4;}/*!sc*/ data-styled.g20[id="sc-d74559df-0"]{content:"hctdIg,fqnlbI,cIekQB,zDyKW,iotBFW,dTOZsF,"}/*!sc*/ .etnILU{padding:12px 32px;}/*!sc*/ .etnILU>span{font-family:var(--font-inter);font-size:16px;font-style:normal;font-weight:600;line-height:24px;}/*!sc*/ data-styled.g25[id="sc-84b76e46-0"]{content:"etnILU,"}/*!sc*/ .iumJHL svg{position:relative;-webkit-transition:left 0.2s linear;transition:left 0.2s linear;left:0px;top:0px;}/*!sc*/ .iumJHL:hover svg{left:6px;}/*!sc*/ data-styled.g27[id="sc-6e03a9e4-0"]{content:"iumJHL,"}/*!sc*/ .Tcnof{position:absolute;right:20px;}/*!sc*/ data-styled.g28[id="sc-2850a57f-0"]{content:"Tcnof,"}/*!sc*/ .ggobuO:hover{border:1px solid #2C2C33;background:#2d2c3380;}/*!sc*/ data-styled.g29[id="sc-2850a57f-1"]{content:"ggobuO,"}/*!sc*/ .dSsmQU{height:100%;width:100%;object-fit:cover;object-position:center;}/*!sc*/ data-styled.g30[id="sc-2850a57f-2"]{content:"dSsmQU,"}/*!sc*/ .cPKdIq{-webkit-line-clamp:3;-webkit-box-orient:vertical;}/*!sc*/ .cPKdIq svg{visibility:hidden;opacity:0;-webkit-transition:all 0.2s linear;transition:all 0.2s linear;-webkit-transform:translateY(1px);-ms-transform:translateY(1px);transform:translateY(1px);}/*!sc*/ .cPKdIq:hover{color:white;}/*!sc*/ .cPKdIq:hover svg{right:14px;opacity:1;visibility:visible;}/*!sc*/ data-styled.g31[id="sc-2850a57f-3"]{content:"cPKdIq,"}/*!sc*/ .gxydGy span{font-size:14px !important;}/*!sc*/ data-styled.g32[id="sc-3618c394-0"]{content:"gxydGy,"}/*!sc*/ .kXFUqt{border:1px solid #2c2c33;background-color:#19191c;}/*!sc*/ data-styled.g33[id="sc-3618c394-1"]{content:"kXFUqt,"}/*!sc*/ .bpvjgx{width:auto;height:auto;padding:6px;}/*!sc*/ .iIhisP{width:16px;height:16px;padding:0;}/*!sc*/ data-styled.g36[id="sc-3618c394-4"]{content:"bpvjgx,iIhisP,"}/*!sc*/ .bGaVbc{cursor:pointer;border-radius:8px;min-width:290px;width:100%;}/*!sc*/ .bGaVbc:hover,.bGaVbc:hover span{background-color:#1a1a1f;}/*!sc*/ .bGaVbc a{color:#79AFFA;width:100%;}/*!sc*/ .bGaVbc svg{position:relative;color:#A9A9AD;z-index:10;}/*!sc*/ .bGaVbc img{-webkit-filter:grayscale(1) contrast(0) brightness(1);filter:grayscale(1) contrast(0) brightness(1);-webkit-transition:filter 0.1s linear;transition:filter 0.1s linear;}/*!sc*/ .bGaVbc:hover a,.bGaVbc:focus-within a{color:#ffffff;}/*!sc*/ .bGaVbc:hover img,.bGaVbc:focus-within img{-webkit-filter:none;filter:none;}/*!sc*/ .bGaVbc:hover svg:not(.chevron),.bGaVbc:focus-within svg:not(.chevron){color:#ffffff;}/*!sc*/ .bGaVbc:hover svg:not(.chevron) stop:first-child,.bGaVbc:focus-within svg:not(.chevron) stop:first-child{stop-color:#188dc6 !important;}/*!sc*/ .bGaVbc:hover svg:not(.chevron) stop:last-child,.bGaVbc:focus-within svg:not(.chevron) stop:last-child{stop-color:#13ef95 !important;}/*!sc*/ .kjWGMU{cursor:pointer;border-radius:8px;}/*!sc*/ .kjWGMU:hover,.kjWGMU:hover span{background-color:#1a1a1f;}/*!sc*/ .kjWGMU a{color:#79AFFA;width:100%;}/*!sc*/ .kjWGMU svg{position:relative;color:#A9A9AD;z-index:10;}/*!sc*/ .kjWGMU img{-webkit-filter:grayscale(1) contrast(0) brightness(1);filter:grayscale(1) contrast(0) brightness(1);-webkit-transition:filter 0.1s linear;transition:filter 0.1s linear;}/*!sc*/ .kjWGMU:hover a,.kjWGMU:focus-within a{color:#ffffff;}/*!sc*/ .kjWGMU:hover img,.kjWGMU:focus-within img{-webkit-filter:none;filter:none;}/*!sc*/ .kjWGMU:hover svg:not(.chevron),.kjWGMU:focus-within svg:not(.chevron){color:#ffffff;}/*!sc*/ .kjWGMU:hover svg:not(.chevron) stop:first-child,.kjWGMU:focus-within svg:not(.chevron) stop:first-child{stop-color:#188dc6 !important;}/*!sc*/ .kjWGMU:hover svg:not(.chevron) stop:last-child,.kjWGMU:focus-within svg:not(.chevron) stop:last-child{stop-color:#13ef95 !important;}/*!sc*/ data-styled.g37[id="sc-3618c394-5"]{content:"bGaVbc,kjWGMU,"}/*!sc*/ .juEUpi{margin-right:-32px;}/*!sc*/ @media (min-width:1280px){.juEUpi{margin-right:0;}}/*!sc*/ data-styled.g38[id="sc-3618c394-6"]{content:"juEUpi,"}/*!sc*/ .jzJMzZ{height:100%;width:100%;object-fit:cover;object-position:center;}/*!sc*/ data-styled.g40[id="sc-3618c394-8"]{content:"jzJMzZ,"}/*!sc*/ .jycipe{padding:8px;}/*!sc*/ .jycipe:hover,.jycipe:focus-within{color:white;}/*!sc*/ data-styled.g42[id="sc-3618c394-10"]{content:"jycipe,"}/*!sc*/ .cTfqJK{border:2px solid #232329;border-radius:8px;padding:13px 16px;width:100%;}/*!sc*/ .cTfqJK img{-webkit-filter:invert(50%);filter:invert(50%);}/*!sc*/ .cTfqJK:hover{background-color:#232329;}/*!sc*/ .cTfqJK:hover img{-webkit-filter:none;filter:none;}/*!sc*/ .dAEPVD{border:2px solid #232329;border-radius:8px;padding:13px 16px;width:100%;}/*!sc*/ .dAEPVD img{-webkit-filter:none;filter:none;}/*!sc*/ .dAEPVD:hover{background-color:#232329;}/*!sc*/ .dAEPVD:hover img{-webkit-filter:none;filter:none;}/*!sc*/ data-styled.g43[id="sc-3618c394-11"]{content:"cTfqJK,dAEPVD,"}/*!sc*/ .dVEgqo{padding-right:20px;line-height:1;width:-webkit-max-content;width:-moz-max-content;width:max-content;font-size:14px;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ .dRVqCB{padding-right:20px;line-height:1;width:-webkit-max-content;width:-moz-max-content;width:max-content;font-size:14px;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}/*!sc*/ .dRVqCB:hover{color:#fff;}/*!sc*/ data-styled.g45[id="sc-3618c394-13"]{content:"dVEgqo,dRVqCB,"}/*!sc*/ .cFsKfJ{font-size:12px;line-height:18px;margin-right:-30px;}/*!sc*/ data-styled.g46[id="sc-3618c394-14"]{content:"cFsKfJ,"}/*!sc*/ .gpxdfo{min-width:130px;color:#CECED2;}/*!sc*/ .eGLEvX{min-width:130px;color:#BB76FF;}/*!sc*/ data-styled.g47[id="sc-3618c394-15"]{content:"gpxdfo,eGLEvX,"}/*!sc*/ @media screen and (min-width:1280px){.gkvAJG{left:50%;-webkit-transform:translateX(-50%);-ms-transform:translateX(-50%);transform:translateX(-50%);}}/*!sc*/ data-styled.g48[id="sc-610ba7e0-0"]{content:"gkvAJG,"}/*!sc*/ .GBftN{min-height:1em;font:1rem/1.5rem var(--font-inter,sans-serif);font-family:var(--font-inter,sans-serif);color:#A9A9AD;}/*!sc*/ @media screen and (min-width:768px){.GBftN{font:1rem/1.5rem var(--font-inter,sans-serif);font-family:var(--font-inter,sans-serif);}}/*!sc*/ data-styled.g49[id="sc-5159831f-0"]{content:"GBftN,"}/*!sc*/ .jroYld{padding:8px 12px;height:36px;font-weight:bold;font-size:14px;}/*!sc*/ .jroYeL{padding:8px 18px;height:36px;font-weight:bold;font-size:14px;}/*!sc*/ data-styled.g53[id="sc-f5e67a3c-0"]{content:"jroYld,jroYeL,"}/*!sc*/ .brcSfa{-webkit-backdrop-filter:saturate(1.8) blur(20px);backdrop-filter:saturate(1.8) blur(20px);}/*!sc*/ data-styled.g54[id="sc-f5e67a3c-1"]{content:"brcSfa,"}/*!sc*/ .czlhnZ{list-style:none;}/*!sc*/ data-styled.g55[id="sc-f5e67a3c-2"]{content:"czlhnZ,"}/*!sc*/ @media (min-width:1280px){.jzgMew{background-image:linear-gradient(to right,#848499,#848499);background-position:bottom;background-size:5px 1px;background-repeat:repeat-x;}.jzgMew::after{content:'';width:100%;height:1px;background-image:linear-gradient(to right,#0b0b0c,#2c2c33,#0b0b0c);background-position:bottom;position:absolute;bottom:0;left:0;}}/*!sc*/ data-styled.g56[id="sc-f5e67a3c-3"]{content:"jzgMew,"}/*!sc*/ .bDFWMB{object-fit:contain;}/*!sc*/ data-styled.g57[id="sc-f5e67a3c-4"]{content:"bDFWMB,"}/*!sc*/ .fcUGTU{object-fit:contain;}/*!sc*/ data-styled.g58[id="sc-f5e67a3c-5"]{content:"fcUGTU,"}/*!sc*/ .xEeaM.xEeaM{width:100%;background:rgba(255,255,255,0.1);border:1px solid;border-color:#E1E1E5;border-radius:8px;overflow-x:hidden;overflow-y:hidden;}/*!sc*/ data-styled.g119[id="sc-55bcd36-0"]{content:"xEeaM,"}/*!sc*/ .ccmWmA{cursor:pointer;}/*!sc*/ data-styled.g121[id="sc-55bcd36-2"]{content:"ccmWmA,"}/*!sc*/ .etTmcu:focus-within #search-results{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ data-styled.g127[id="sc-8e7440ad-0"]{content:"etTmcu,"}/*!sc*/ .cxZbdr{-ms-overflow-style:none;-webkit-scrollbar-width:none;-moz-scrollbar-width:none;-ms-scrollbar-width:none;scrollbar-width:none;}/*!sc*/ .cxZbdr::-webkit-scrollbar{display:none;}/*!sc*/ data-styled.g128[id="sc-8e7440ad-1"]{content:"cxZbdr,"}/*!sc*/ .hegRkn{list-style:none !important;}/*!sc*/ .hegRkn > li{padding-left:0.5rem;}/*!sc*/ .hegRkn::before{content:'';position:absolute;top:13px;left:-8px;-webkit-transform:translateY(-50%);-ms-transform:translateY(-50%);transform:translateY(-50%);width:6px;height:6px;border-radius:50%;background-color:#13EF93;background-repeat:no-repeat;background-position:center;}/*!sc*/ data-styled.g129[id="sc-42818e5a-0"]{content:"hegRkn,"}/*!sc*/ .dZzOHq{list-style:initial !important;}/*!sc*/ .dZzOHq li > ul{margin-block:0.5rem;}/*!sc*/ .dZzOHq > li > .sub-list-item{display:none;}/*!sc*/ .dZzOHq ul li .list-item{display:none;}/*!sc*/ .dZzOHq ul li .sub-list-item{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;}/*!sc*/ data-styled.g130[id="sc-42818e5a-1"]{content:"dZzOHq,"}/*!sc*/ .ipqlKg{-webkit-scroll-margin-top:120px;-moz-scroll-margin-top:120px;-ms-scroll-margin-top:120px;scroll-margin-top:120px;}/*!sc*/ data-styled.g132[id="sc-42818e5a-3"]{content:"ipqlKg,"}/*!sc*/ .jpHeYz{background-color:#1e2c3c;}/*!sc*/ data-styled.g133[id="sc-42818e5a-4"]{content:"jpHeYz,"}/*!sc*/ .cifBqP h1{font-size:32px;font-weight:500;line-height:120%;-webkit-letter-spacing:-0.72px;-moz-letter-spacing:-0.72px;-ms-letter-spacing:-0.72px;letter-spacing:-0.72px;color:#fff;}/*!sc*/ .cifBqP h2{font-size:24px;font-weight:500;line-height:120%;-webkit-letter-spacing:-0.72px;-moz-letter-spacing:-0.72px;-ms-letter-spacing:-0.72px;letter-spacing:-0.72px;color:#fff;}/*!sc*/ .cifBqP h3{font-size:20px;font-weight:500;line-height:120%;color:#fff;}/*!sc*/ .cifBqP h4{font-size:18px;font-style:normal;font-weight:500;line-height:120%;color:#fff;}/*!sc*/ .cifBqP,.cifBqP h5{font-size:16px;font-style:normal;font-weight:500;line-height:120%;color:#fff;}/*!sc*/ .cifBqP p{color:#a9a9ad;font-size:1rem;line-height:160%;}/*!sc*/ .cifBqP a{color:#79AFFA;-webkit-transition:color 0.15s ease-in-out;transition:color 0.15s ease-in-out;}/*!sc*/ .cifBqP a:hover{color:#ffffff;}/*!sc*/ .cifBqP img{border-radius:8px;}/*!sc*/ .cifBqP .table-block-wrapper{width:calc(100vw - 64px);}/*!sc*/ @media screen and (min-width:768px){.cifBqP .table-block-wrapper{width:100%;}}/*!sc*/ data-styled.g135[id="sc-4e888a2-0"]{content:"cifBqP,"}/*!sc*/ .zIKHU p{color:#a9a9ad;font-size:16px;line-height:24px;}/*!sc*/ .zIKHU a{color:#79AFFA;}/*!sc*/ data-styled.g140[id="sc-a48d0877-0"]{content:"zIKHU,"}/*!sc*/ </style></head><body><div id="__next"><div class="__variable_faaa9a __variable_179fbf __variable_8849c1"><style data-emotion="css-global 19e5se0">html{-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale;box-sizing:border-box;-webkit-text-size-adjust:100%;}*,*::before,*::after{box-sizing:inherit;}strong,b{font-weight:700;}body{margin:0;color:#101014;font-family:var(--font-inter, sans-serif);font-size:1.125rem;line-height:1.75rem;font-weight:400;background-color:#ffffff;}@media print{body{background-color:#ffffff;}}body::backdrop{background-color:#ffffff;}</style><header id="primary-header" font-family="bodyFont" width="100%" class="sc-6293d692-0 bVCmMy"><div width="100%" id="OIxudyjJQhW_2ro39dJRnA" class="sc-6293d692-0 sc-f5e67a3c-1 jWQHwy brcSfa"><nav class="sc-ace17a57-0 sc-f5e67a3c-3 hVNegh jzgMew header-wrapper" width="100%" id="OIxudyjJQhW_2ro39dJRnA"><div width="100%" class="sc-6293d692-0 bCQJFW"><div height="60px" class="sc-ace17a57-0 ehhiOD"><div class="sc-ace17a57-0 fVTUpQ"><a rel="" target="" width="100%" display="flex" href="/" class="sc-e69ac761-0 kTZeVj"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="eager" width="130" height="30" decoding="async" data-nimg="1" class="sc-f5e67a3c-4 bDFWMB" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1683539914-logo.svg"/></div></a></div><div width="100%" class="sc-ace17a57-0 bffmgp"><div width="100%" class="sc-ace17a57-0 bIAVyz"><div class="sc-ace17a57-0 kNFNkL"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 hctdIg css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex"><div width="16.5px" height="13px" class="sc-6293d692-0 eerUnR"><span display="block" height="2px" width="100%" opacity="1" transform="rotate(0)" class="sc-b323b31-0 fAyXOw"></span><span display="block" height="2px" width="100%" opacity="1" class="sc-b323b31-0 jYoQJr"></span><span display="block" height="2px" width="100%" opacity="1" transform="rotate(0)" class="sc-b323b31-0 bzvkpX"></span></div></span></button></div><ul width="100%" height="0px" class="sc-ace17a57-0 sc-f5e67a3c-2 girkTs czlhnZ"><div display="none" class="sc-ace17a57-0 bCtuFU"><a rel="" target="" width="100%" display="flex" href="/" class="sc-e69ac761-0 kTZeVj"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="130" height="30" decoding="async" data-nimg="1" class="sc-f5e67a3c-5 fcUGTU" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1683539914-logo.svg"/></div></a></div><div class="sc-ace17a57-0 cBRNHO"><li height="fit-content" width="100%" tabindex="0" class="sc-6293d692-0 hEIHLV"><div width="100%" class="sc-ace17a57-0 gbwWMz"><div height="fit-content" width="100%" class="sc-ace17a57-0 caCSrG"><span font-size="textXl" font-weight="medium" display="block" cursor="pointer" width="100%" class="sc-b323b31-0 kzoxAi">Products</span><div transform="rotateX(0deg)" class="sc-ace17a57-0 fxtsZN"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 448 512" color="#A9A9AD" style="color:#A9A9AD" height="12" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z"></path></svg></div></div></div><div pointer-events="none" class="sc-6293d692-0 sc-610ba7e0-0 fqJJID gkvAJG"><div class="sc-ace17a57-0 iIvmda"><div class="sc-ace17a57-0 fXUJvn"><div class="sc-ace17a57-0 jbARwL"><div class="sc-ace17a57-0 eFYjSa"><div class="sc-ace17a57-0 gYFcFc"><span display="block" width="auto" class="sc-b323b31-0 gIJLbd">APIs</span></div><div class="sc-ace17a57-0 eTCxuy"><div class="sc-ace17a57-0 ldsYPN"><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC bGaVbc"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/product/voice-agent-api"><div class="sc-ace17a57-0 gCajMv"><div class="sc-ace17a57-0 sc-3618c394-4 ftcNci bpvjgx"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060023-speech-to-speech.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dVEgqo">Voice Agent API</span><span font-size="textXs" class="sc-b323b31-0 sc-3618c394-14 lnJhVG cFsKfJ">For real-time AI Agents</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC bGaVbc"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/product/text-to-speech"><div class="sc-ace17a57-0 gCajMv"><div class="sc-ace17a57-0 sc-3618c394-4 ftcNci bpvjgx"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060055-text-to-speech.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dVEgqo">Text to Speech API</span><span font-size="textXs" class="sc-b323b31-0 sc-3618c394-14 lnJhVG cFsKfJ">Responsive, natural-sounding voices</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC bGaVbc"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/product/speech-to-text"><div class="sc-ace17a57-0 gCajMv"><div class="sc-ace17a57-0 sc-3618c394-4 ftcNci bpvjgx"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060077-speech-to-text.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dVEgqo">Speech to Text API</span><span font-size="textXs" class="sc-b323b31-0 sc-3618c394-14 lnJhVG cFsKfJ">Unmatched accuracy, speed & cost</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC bGaVbc"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/product/audio-intelligence"><div class="sc-ace17a57-0 gCajMv"><div class="sc-ace17a57-0 sc-3618c394-4 ftcNci bpvjgx"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060103-brain-ai.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dVEgqo">Audio Intelligence API</span><span font-size="textXs" class="sc-b323b31-0 sc-3618c394-14 lnJhVG cFsKfJ">Powered by AI Language models</span></div></div></a></div></div></div></div></div></div><div width="calc(100%)" class="sc-ace17a57-0 sc-3618c394-6 hiDOHk juEUpi"><div width="100%" class="sc-ace17a57-0 lePzZD"><span display="block" height="36px" class="sc-b323b31-0 ilnsGr">Announcements</span><style data-emotion="css 1y3y2u2">.css-1y3y2u2{font-family:var(--font-inter, sans-serif);font-size:1.0446428571428572rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:4px 5px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#9c27b0;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;line-height:2.3;height:44px;padding-left:1.25rem;padding-right:1.25rem;color:#ffffff;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-1y3y2u2:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(156, 39, 176, 0.04);}@media (hover: none){.css-1y3y2u2:hover{background-color:transparent;}}.css-1y3y2u2.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-1y3y2u2::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-1y3y2u2:hover{color:#79AFFA;background-color:transparent;}.css-1y3y2u2:focus-visible{color:#ffffff;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-1y3y2u2.Mui-disabled{color:#ffffff;opacity:0.2;}</style><style data-emotion="css 6n9fb7">.css-6n9fb7{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:1.0446428571428572rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:4px 5px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#9c27b0;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;line-height:2.3;height:44px;padding-left:1.25rem;padding-right:1.25rem;color:#ffffff;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-6n9fb7::-moz-focus-inner{border-style:none;}.css-6n9fb7.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-6n9fb7{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-6n9fb7:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(156, 39, 176, 0.04);}@media (hover: none){.css-6n9fb7:hover{background-color:transparent;}}.css-6n9fb7.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-6n9fb7::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-6n9fb7:hover{color:#79AFFA;background-color:transparent;}.css-6n9fb7:focus-visible{color:#ffffff;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-6n9fb7.Mui-disabled{color:#ffffff;opacity:0.2;}</style><a class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textSecondary MuiButton-sizeSmall MuiButton-textSizeSmall MuiButton-colorSecondary MuiButton-root MuiButton-text MuiButton-textSecondary MuiButton-sizeSmall MuiButton-textSizeSmall MuiButton-colorSecondary sc-d74559df-0 fqnlbI sc-6e03a9e4-0 iumJHL sc-3618c394-0 gxydGy css-6n9fb7" tabindex="0" type="button" __typename="ComponentCallToActionRecord" id="Xho9X9_YQj2HBRVr87BG0g" href="/learn?type=Article&page=1&category=Announcements"><span class="sc-b323b31-0 fcPowg button-label" display="inline-flex"><span>View more</span></span><style data-emotion="css kcxyz4">.css-kcxyz4{display:inherit;margin-right:-2px;margin-left:8px;}.css-kcxyz4>*:nth-of-type(1){font-size:18px;}</style><span class="MuiButton-icon MuiButton-endIcon MuiButton-iconSizeSmall css-kcxyz4"><div width="fit-content" class="sc-ace17a57-0 ddioGD"><span display="inline-flex" class="sc-b323b31-0 bZmEHx"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 448 512" height="16" width="16" xmlns="http://www.w3.org/2000/svg"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"></path></svg></span></div></span></a></div><div class="sc-ace17a57-0 gzWdaa"><a rel="" target="" display="-webkit-box" height="100%" width="100%" class="sc-e69ac761-0 ecplwP sc-2850a57f-3 cPKdIq" href="/learn/introducing-nova-3-speech-to-text-api"><div width="100%" height="100%" id="e1wy33mNTlGk8-WqDH28_Q" class="sc-ace17a57-0 sc-2850a57f-1 fJWxEy ggobuO"><div width="100%" height="150px" class="sc-6293d692-0 eWcIvK"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Introducing Nova-3: Setting a New Standard for AI-Driven Speech-to-Text" loading="lazy" width="590" height="259" decoding="async" data-nimg="1" class="sc-2850a57f-2 dSsmQU" style="color:transparent;object-fit:cover" srcSet="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1740086862-2502-nova-3-blog-header.jpg%3Fauto%3Dformat%26w%3D590&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1740086862-2502-nova-3-blog-header.jpg%3Fauto%3Dformat%26w%3D590&w=1200&q=75 2x" src="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1740086862-2502-nova-3-blog-header.jpg%3Fauto%3Dformat%26w%3D590&w=1200&q=75"/></div></div><div class="sc-ace17a57-0 biWqHE"><span font-weight="semiBold" class="sc-b323b31-0 iNRMrC"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 320 512" color="#ffffff" class="sc-2850a57f-0 Tcnof" style="color:#ffffff" height="12" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M285.476 272.971L91.132 467.314c-9.373 9.373-24.569 9.373-33.941 0l-22.667-22.667c-9.357-9.357-9.375-24.522-.04-33.901L188.505 256 34.484 101.255c-9.335-9.379-9.317-24.544.04-33.901l22.667-22.667c9.373-9.373 24.569-9.373 33.941 0L285.475 239.03c9.373 9.372 9.373 24.568.001 33.941z"></path></svg>Introducing Nova-3: Setting a New Standard for AI-Driven Speech-to-Text</span><span class="sc-b323b31-0 jUNaqu">Published on 02/12/25</span></div></div></a></div></div></div></div></li><li height="fit-content" width="100%" tabindex="0" class="sc-6293d692-0 hEIHLV"><div width="100%" class="sc-ace17a57-0 gbwWMz"><div height="fit-content" width="100%" class="sc-ace17a57-0 caCSrG"><span font-size="textXl" font-weight="medium" display="block" cursor="pointer" width="100%" class="sc-b323b31-0 kzoxAi">Solutions</span><div transform="rotateX(0deg)" class="sc-ace17a57-0 fxtsZN"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 448 512" color="#A9A9AD" style="color:#A9A9AD" height="12" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z"></path></svg></div></div></div><div pointer-events="none" class="sc-6293d692-0 sc-610ba7e0-0 fqJJID gkvAJG"><div class="sc-ace17a57-0 iIvmda"><div class="sc-ace17a57-0 fXUJvn"><div class="sc-ace17a57-0 jbARwL"><div class="sc-ace17a57-0 exshrD"><div class="sc-ace17a57-0 gYFcFc"><span display="block" width="auto" class="sc-b323b31-0 gIJLbd">Use Cases</span></div><div class="sc-ace17a57-0 eTCxuy"><div class="sc-ace17a57-0 ldsYPN"><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/solutions/contact-centers"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060222-customer-service.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Contact Centers</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/solutions/medical-transcription"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060247-medical.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Medical Transcription</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/deepgram-for-voicebots-and-chatbots"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060265-conversational-ai.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Conversational AI</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/solutions/speech-analytics"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060282-speech-analytics.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Speech Analytics</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/solutions/media-transcription"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060298-media.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Media Transcription</span></div></div></a></div></div></div></div><div class="sc-ace17a57-0 bcBFEg"><a rel="" target="" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK" href="/customers"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Customers" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728060368-user.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">Customers</span></div></a><a rel="" target="" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK" href="/partners"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Partners" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728060385-people-connect.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">Partners</span></div></a><a rel="" target="" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK" href="/startup-program"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Startup Program" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728060404-rocket.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">Startup Program</span></div></a></div></div></div></div></div></li><li height="fit-content" width="100%" tabindex="0" class="sc-6293d692-0 hEIHLV"><div width="100%" class="sc-ace17a57-0 gbwWMz"><div height="fit-content" width="100%" class="sc-ace17a57-0 caCSrG"><span font-size="textXl" font-weight="medium" display="block" cursor="pointer" width="100%" class="sc-b323b31-0 kzoxAi">Resources</span><div transform="rotateX(0deg)" class="sc-ace17a57-0 fxtsZN"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 448 512" color="#A9A9AD" style="color:#A9A9AD" height="12" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z"></path></svg></div></div></div><div pointer-events="none" class="sc-6293d692-0 sc-610ba7e0-0 fqJJID gkvAJG"><div class="sc-ace17a57-0 iIvmda"><div class="sc-ace17a57-0 fXUJvn"><div class="sc-ace17a57-0 jbARwL"><div class="sc-ace17a57-0 exshrD"><div class="sc-ace17a57-0 gYFcFc"><span display="block" width="auto" class="sc-b323b31-0 gIJLbd">Resources</span></div><div class="sc-ace17a57-0 eTCxuy"><div class="sc-ace17a57-0 ldsYPN"><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/learn/article"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1686951380-articles.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Articles</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/learn?type=Podcast&page=1"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1729269052-mic-icon-solid-white.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Podcast</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/learn"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060578-books.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Resource Hub</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/ai-glossary"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1700614421-glossary-icon.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">AI Glossary</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/about"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060599-speech-bubble.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">About</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/careers"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060617-careers.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Careers</span></div></div></a></div></div></div></div><div class="sc-ace17a57-0 bcBFEg"><a rel="" target="" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK" href="/ai-apps"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="AI Apps" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728060670-grid.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">AI Apps</span></div></a><a href="https://www.aiminds.com/subscribe" rel="noreferrer noopener" target="_blank" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="AI Minds" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728570215-ai-minds-icon-green-duotone.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">AI Minds</span></div></a><a rel="" target="" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK" href="/ai-voice-generator"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="AI Voice Generator" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728060689-podcast.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">AI Voice Generator</span></div></a><a rel="" target="" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK" href="/free-transcription"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Transcription Tool" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728060712-transcription.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">Transcription Tool</span></div></a></div></div></div></div></div></li><li height="fit-content" width="100%" tabindex="0" class="sc-6293d692-0 hEIHLV"><div width="100%" class="sc-ace17a57-0 gbwWMz"><div height="fit-content" width="100%" class="sc-ace17a57-0 caCSrG"><span font-size="textXl" font-weight="medium" display="block" cursor="pointer" width="100%" class="sc-b323b31-0 kzoxAi">Developers</span><div transform="rotateX(0deg)" class="sc-ace17a57-0 fxtsZN"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 448 512" color="#A9A9AD" style="color:#A9A9AD" height="12" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z"></path></svg></div></div></div><div pointer-events="none" class="sc-6293d692-0 sc-610ba7e0-0 fqJJID gkvAJG"><div class="sc-ace17a57-0 iIvmda"><div class="sc-ace17a57-0 fXUJvn"><div class="sc-ace17a57-0 jbARwL"><div class="sc-ace17a57-0 exshrD"><div class="sc-ace17a57-0 eTCxuy"><div class="sc-ace17a57-0 ldsYPN"><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a href="https://developers.deepgram.com/documentation/" rel="noreferrer noopener" target="_blank" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060846-documentation.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Documentation</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/learn?type=Article&page=1&category=Tutorials"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060860-tutorials.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Tutorials</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a href="https://status.deepgram.com/" rel="noreferrer noopener" target="_blank" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060872-status.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Status</span></div></div></a></div></div></div></div><div class="sc-ace17a57-0 exshrD"><div class="sc-ace17a57-0 eTCxuy"><div class="sc-ace17a57-0 ldsYPN"><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a rel="" target="" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe" href="/changelog"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060899-changelog.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Changelog</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a href="https://developers.deepgram.com/on-prem/" rel="noreferrer noopener" target="_blank" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060943-on-prem.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Self-Hosted Deployment</span></div></div></a></div><div width="max-content" class="sc-ace17a57-0 sc-3618c394-5 dMJoKC kjWGMU"><a href="https://github.com/orgs/deepgram/discussions/categories/general-help" rel="noreferrer noopener" target="_blank" text-decoration="none" class="sc-e69ac761-0 cCnzAI sc-3618c394-10 jycipe"><div class="sc-ace17a57-0 ljypZA"><div class="sc-ace17a57-0 sc-3618c394-4 iNSltq iIhisP"><div class="sc-ace17a57-0 sc-5f7d928-0 iMdtXa kritbo image-wrapper" width="fit-content" height="fit-content"><img alt="" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" style="color:transparent;object-fit:contain" src="https://www.datocms-assets.com/96965/1728060960-question.svg"/></div></div><div class="sc-ace17a57-0 guuHrd"><span font-weight="medium" display="flex" tabindex="-1" class="sc-b323b31-0 sc-3618c394-13 hHDluE dRVqCB">Help</span></div></div></a></div></div></div></div><div class="sc-ace17a57-0 bcBFEg"><a href="https://playground.deepgram.com/" rel="noreferrer noopener" target="_blank" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 dAEPVD"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Playground" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728061004-playground.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO eGLEvX">Playground</span></div></a><a href="https://community.deepgram.com/" rel="noreferrer noopener" target="_blank" class="sc-e69ac761-0 bkHGsI sc-3618c394-11 cTfqJK"><div class="sc-ace17a57-0 ldePaW"><div width="28px" height="28px" class="sc-6293d692-0 sc-3618c394-1 ipShUF kXFUqt"><div class="sc-ace17a57-0 sc-5f7d928-0 fvbMGK image-wrapper" width="100%" height="100%"><img alt="Community" loading="lazy" width="16" height="16" decoding="async" data-nimg="1" class="sc-3618c394-8 jzJMzZ" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1728061058-github.svg"/></div></div><span font-size="textSm" class="sc-b323b31-0 sc-3618c394-15 fmcyDO gpxdfo">Community</span></div></a></div></div></div></div></div></li><li height="fit-content" width="100%" class="sc-6293d692-0 hEIHLV"><div width="100%" class="sc-ace17a57-0 gbwWMz"><div height="fit-content" width="100%" class="sc-ace17a57-0 caCSrG"><a rel="" target="" font-size="textXl" font-weight="medium" display="block" cursor="pointer" width="100%" text-decoration="none" href="/enterprise" class="sc-e69ac761-0 cdgacq">Enterprise</a></div></div></li><li height="fit-content" width="100%" class="sc-6293d692-0 hEIHLV"><div width="100%" class="sc-ace17a57-0 gbwWMz"><div height="fit-content" width="100%" class="sc-ace17a57-0 caCSrG"><a rel="" target="" font-size="textXl" font-weight="medium" display="block" cursor="pointer" width="100%" text-decoration="none" href="/pricing" class="sc-e69ac761-0 cdgacq">Pricing</a></div></div></li></div><div class="sc-ace17a57-0 iKGCvS"><style data-emotion="css es23wo">.css-es23wo{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#9c27b0;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#ffffff;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-es23wo:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(156, 39, 176, 0.04);}@media (hover: none){.css-es23wo:hover{background-color:transparent;}}.css-es23wo.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-es23wo::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-es23wo:hover{color:#79AFFA;background-color:transparent;}.css-es23wo:focus-visible{color:#ffffff;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-es23wo.Mui-disabled{color:#ffffff;opacity:0.2;}</style><style data-emotion="css 1vy4m6x">.css-1vy4m6x{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#9c27b0;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#ffffff;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-1vy4m6x::-moz-focus-inner{border-style:none;}.css-1vy4m6x.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-1vy4m6x{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-1vy4m6x:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(156, 39, 176, 0.04);}@media (hover: none){.css-1vy4m6x:hover{background-color:transparent;}}.css-1vy4m6x.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-1vy4m6x::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-1vy4m6x:hover{color:#79AFFA;background-color:transparent;}.css-1vy4m6x:focus-visible{color:#ffffff;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-1vy4m6x.Mui-disabled{color:#ffffff;opacity:0.2;}</style><a class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textSecondary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorSecondary MuiButton-root MuiButton-text MuiButton-textSecondary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorSecondary sc-d74559df-0 cIekQB sc-84b76e46-0 sc-f5e67a3c-0 jroYld css-1vy4m6x" tabindex="0" type="button" href="https://console.deepgram.com/" target="_self" id="108492178" __typename="ComponentCallToActionRecord"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex"><span>Log In</span></span></a><style data-emotion="css 134mfhg">.css-134mfhg{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 16px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;box-shadow:0px 3px 1px -2px rgba(0,0,0,0.2),0px 2px 2px 0px rgba(0,0,0,0.14),0px 1px 5px 0px rgba(0,0,0,0.12);min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;background:#0B0B0C;color:#ffffff;border:1px solid #ffffff;}.css-134mfhg:hover{-webkit-text-decoration:none;text-decoration:none;box-shadow:0px 2px 4px -1px rgba(0,0,0,0.2),0px 4px 5px 0px rgba(0,0,0,0.14),0px 1px 10px 0px rgba(0,0,0,0.12);}.css-134mfhg:active{box-shadow:0px 5px 5px -3px rgba(0,0,0,0.2),0px 8px 10px 1px rgba(0,0,0,0.14),0px 3px 14px 2px rgba(0,0,0,0.12);}.css-134mfhg.Mui-focusVisible{box-shadow:0px 3px 5px -1px rgba(0,0,0,0.2),0px 6px 10px 0px rgba(0,0,0,0.14),0px 1px 18px 0px rgba(0,0,0,0.12);}.css-134mfhg.Mui-disabled{color:rgba(0, 0, 0, 0.26);box-shadow:none;background-color:rgba(0, 0, 0, 0.12);}.css-134mfhg::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-134mfhg::before{background:linear-gradient(to right, #A9A9AD, #FBFBFF, #A9A9AD, #FBFBFF);-webkit-background-size:300% 100%;background-size:300% 100%;}.css-134mfhg:hover{color:#0B0B0C;box-shadow:0px 1px 2px rgba(38, 44, 52, 0.05);background:#0B0B0C;}.css-134mfhg:hover::before{opacity:1;-webkit-background-position:100% 0;background-position:100% 0;}.css-134mfhg:focus{background:#0B0B0C;border-color:#ffffff;box-shadow:0px 1px 2px rgba(16, 24, 40, 0.05),0px 0px 0px 2px #687EF7;}.css-134mfhg.Mui-disabled{background:#2C2C33;border-color:transparent;color:#A9A9AD;}</style><style data-emotion="css aaf570">.css-aaf570{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 16px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;box-shadow:0px 3px 1px -2px rgba(0,0,0,0.2),0px 2px 2px 0px rgba(0,0,0,0.14),0px 1px 5px 0px rgba(0,0,0,0.12);min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;background:#0B0B0C;color:#ffffff;border:1px solid #ffffff;}.css-aaf570::-moz-focus-inner{border-style:none;}.css-aaf570.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-aaf570{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-aaf570:hover{-webkit-text-decoration:none;text-decoration:none;box-shadow:0px 2px 4px -1px rgba(0,0,0,0.2),0px 4px 5px 0px rgba(0,0,0,0.14),0px 1px 10px 0px rgba(0,0,0,0.12);}.css-aaf570:active{box-shadow:0px 5px 5px -3px rgba(0,0,0,0.2),0px 8px 10px 1px rgba(0,0,0,0.14),0px 3px 14px 2px rgba(0,0,0,0.12);}.css-aaf570.Mui-focusVisible{box-shadow:0px 3px 5px -1px rgba(0,0,0,0.2),0px 6px 10px 0px rgba(0,0,0,0.14),0px 1px 18px 0px rgba(0,0,0,0.12);}.css-aaf570.Mui-disabled{color:rgba(0, 0, 0, 0.26);box-shadow:none;background-color:rgba(0, 0, 0, 0.12);}.css-aaf570::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-aaf570::before{background:linear-gradient(to right, #A9A9AD, #FBFBFF, #A9A9AD, #FBFBFF);-webkit-background-size:300% 100%;background-size:300% 100%;}.css-aaf570:hover{color:#0B0B0C;box-shadow:0px 1px 2px rgba(38, 44, 52, 0.05);background:#0B0B0C;}.css-aaf570:hover::before{opacity:1;-webkit-background-position:100% 0;background-position:100% 0;}.css-aaf570:focus{background:#0B0B0C;border-color:#ffffff;box-shadow:0px 1px 2px rgba(16, 24, 40, 0.05),0px 0px 0px 2px #687EF7;}.css-aaf570.Mui-disabled{background:#2C2C33;border-color:transparent;color:#A9A9AD;}</style><a class="MuiButtonBase-root MuiButton-root MuiButton-contained MuiButton-containedBlack MuiButton-sizeMedium MuiButton-containedSizeMedium MuiButton-colorBlack MuiButton-root MuiButton-contained MuiButton-containedBlack MuiButton-sizeMedium MuiButton-containedSizeMedium MuiButton-colorBlack sc-d74559df-0 cIekQB sc-84b76e46-0 etnILU sc-f5e67a3c-0 jroYeL css-aaf570" tabindex="0" type="button" id="T-CCS94ZQ2CRFyuYD-Kv-Q" __typename="ComponentCallToActionRecord" href="/contact-us"><span class="sc-b323b31-0 fcPowg button-label" display="inline-flex"><span>Get a Demo</span></span></a><style data-emotion="css 40xoaf">.css-40xoaf{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 16px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:rgba(0, 0, 0, 0.87);background-color:#00E062;box-shadow:0px 3px 1px -2px rgba(0,0,0,0.2),0px 2px 2px 0px rgba(0,0,0,0.14),0px 1px 5px 0px rgba(0,0,0,0.12);min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;background-color:#ffffff;color:#0B0B0C;border:1px solid #ffffff;}.css-40xoaf:hover{-webkit-text-decoration:none;text-decoration:none;background-color:#00BB49;box-shadow:0px 2px 4px -1px rgba(0,0,0,0.2),0px 4px 5px 0px rgba(0,0,0,0.14),0px 1px 10px 0px rgba(0,0,0,0.12);}@media (hover: none){.css-40xoaf:hover{background-color:#00E062;}}.css-40xoaf:active{box-shadow:0px 5px 5px -3px rgba(0,0,0,0.2),0px 8px 10px 1px rgba(0,0,0,0.14),0px 3px 14px 2px rgba(0,0,0,0.12);}.css-40xoaf.Mui-focusVisible{box-shadow:0px 3px 5px -1px rgba(0,0,0,0.2),0px 6px 10px 0px rgba(0,0,0,0.14),0px 1px 18px 0px rgba(0,0,0,0.12);}.css-40xoaf.Mui-disabled{color:rgba(0, 0, 0, 0.26);box-shadow:none;background-color:rgba(0, 0, 0, 0.12);}.css-40xoaf::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-40xoaf::before{background:linear-gradient(to right, #008fc1, #00f099, #008fc1, #00f099);-webkit-background-size:300% 100%;background-size:300% 100%;}.css-40xoaf:hover{color:#0B0B0C;box-shadow:0px 1px 2px rgba(38, 44, 52, 0.05);background:#ffffff;}.css-40xoaf:hover::before{opacity:1;-webkit-background-position:100% 0;background-position:100% 0;}.css-40xoaf:focus{background:#ffffff;box-shadow:0px 1px 2px rgba(16, 24, 40, 0.05),0px 0px 0px 2px #687EF7;border-color:#ffffff;}.css-40xoaf.Mui-disabled{background:#2C2C33;color:#A9A9AD;}</style><style data-emotion="css ubnyan">.css-ubnyan{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 16px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:rgba(0, 0, 0, 0.87);background-color:#00E062;box-shadow:0px 3px 1px -2px rgba(0,0,0,0.2),0px 2px 2px 0px rgba(0,0,0,0.14),0px 1px 5px 0px rgba(0,0,0,0.12);min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;background-color:#ffffff;color:#0B0B0C;border:1px solid #ffffff;}.css-ubnyan::-moz-focus-inner{border-style:none;}.css-ubnyan.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ubnyan{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ubnyan:hover{-webkit-text-decoration:none;text-decoration:none;background-color:#00BB49;box-shadow:0px 2px 4px -1px rgba(0,0,0,0.2),0px 4px 5px 0px rgba(0,0,0,0.14),0px 1px 10px 0px rgba(0,0,0,0.12);}@media (hover: none){.css-ubnyan:hover{background-color:#00E062;}}.css-ubnyan:active{box-shadow:0px 5px 5px -3px rgba(0,0,0,0.2),0px 8px 10px 1px rgba(0,0,0,0.14),0px 3px 14px 2px rgba(0,0,0,0.12);}.css-ubnyan.Mui-focusVisible{box-shadow:0px 3px 5px -1px rgba(0,0,0,0.2),0px 6px 10px 0px rgba(0,0,0,0.14),0px 1px 18px 0px rgba(0,0,0,0.12);}.css-ubnyan.Mui-disabled{color:rgba(0, 0, 0, 0.26);box-shadow:none;background-color:rgba(0, 0, 0, 0.12);}.css-ubnyan::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ubnyan::before{background:linear-gradient(to right, #008fc1, #00f099, #008fc1, #00f099);-webkit-background-size:300% 100%;background-size:300% 100%;}.css-ubnyan:hover{color:#0B0B0C;box-shadow:0px 1px 2px rgba(38, 44, 52, 0.05);background:#ffffff;}.css-ubnyan:hover::before{opacity:1;-webkit-background-position:100% 0;background-position:100% 0;}.css-ubnyan:focus{background:#ffffff;box-shadow:0px 1px 2px rgba(16, 24, 40, 0.05),0px 0px 0px 2px #687EF7;border-color:#ffffff;}.css-ubnyan.Mui-disabled{background:#2C2C33;color:#A9A9AD;}</style><a class="MuiButtonBase-root MuiButton-root MuiButton-contained MuiButton-containedPrimary MuiButton-sizeMedium MuiButton-containedSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-contained MuiButton-containedPrimary MuiButton-sizeMedium MuiButton-containedSizeMedium MuiButton-colorPrimary sc-d74559df-0 cIekQB sc-84b76e46-0 etnILU sc-f5e67a3c-0 jroYeL css-ubnyan" tabindex="0" type="button" href="https://console.deepgram.com/signup" target="_self" id="108492199" __typename="ComponentCallToActionRecord"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex"><span>Sign Up</span></span></a></div></ul></div></div></div><div display="none" id="nav-overlay" height="0" class="sc-ace17a57-0 jUgQHG"></div></div></nav></div></header><section id="" width="100%" class="sc-ace17a57-0 sc-b22001da-2 iLVWKa eAcnIZ"><div width="100%" class="sc-6293d692-0 chAbBM"><div class="sc-ace17a57-0 doHfou"><a rel="" target="" href="/ai-glossary" class="sc-e69ac761-0 fobbYG"><h2 font-size="displayLg" font-family="primaryFont" class="sc-4555ca6a-0 htUWGk">AI Glossary</h2></a></div></div></section><section id="" width="100%" class="sc-ace17a57-0 sc-b22001da-2 hMGZHr dJJSTR"><div width="100%" class="sc-6293d692-0 chAbBM"><div height="100%" width="100%" class="sc-6293d692-0 gKLLRj"><div height="100%" width="100%" class="sc-662dedcb-0 qCkfD"><div class="sc-6293d692-0 csGpzP"><div class="sc-ace17a57-0 hhtFqm glossary-content-wrapper"><div class="sc-ace17a57-0 btkfVN"><div class="sc-ace17a57-0 sc-a48d0877-0 dJCIVv zIKHU"><h1 font-size="displaySm" letter-spacing="neg2" font-weight="semiBold" font-family="primaryFont" class="sc-b323b31-0 JYZsj">Rectified Linear Unit (ReLU)</h1><div class="sc-ace17a57-0 fJkbQy"><p font-family="bodyFont" class="sc-5159831f-0 GBftN">This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep learning practices.</p></div></div></div><div class="sc-ace17a57-0 sc-4e888a2-0 hfDdWp cifBqP"><p class="sc-5159831f-0">Have you ever pondered why some neural networks excel while others falter in the ever-evolving realm of <a target="_blank" href="https://deepgram.com/ai-glossary/deep-learning">deep learning</a>? At the heart of many breakthrough models lies a surprisingly simple yet profoundly impactful function: the Rectified Linear Unit (ReLU). Astonishingly, despite its simplicity, ReLU has revolutionized the way we approach neural network design. With an increasing number of models suffering from the crippling effects of vanishing gradients—a challenge that stifles learning and model improvement—ReLU emerges as the knight in shining armor. This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep learning practices. Expect to uncover the layers of this function's significance, its mathematical foundation, and its evolutionary journey from obscurity to ubiquity. How exactly did ReLU change the landscape of neural network functions, and what makes it so indispensable to today's AI advancements? Continue reading to unravel the mysteries of this deceptively simple yet powerful activation function.</p><h2 id="introduction--the-rectified-linear-unit-relu" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Introduction - The Rectified Linear Unit (ReLU)</h2><p class="sc-5159831f-0">The Rectified Linear Unit, or ReLU for short, has ascended to the forefront of activation functions within the neural network community. Its rise to prominence stems from a unique blend of simplicity and effectiveness, particularly in addressing two critical challenges in neural network training: promoting sparsity and mitigating the vanishing gradient problem. Here's a brief exploration of ReLU's significance:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Activation Functions</span>: These functions are the unsung heroes of neural networks, determining whether a neuron should be activated or not. They add non-linearity to the system, enabling the network to learn complex patterns beyond mere linear relationships.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Definition and Role of ReLU</span>: ReLU operates on a simple mathematical principle—f(x) = max(0, x). This means that for any positive input, the output remains unchanged, while any negative input is set to zero. This characteristic has profound implications for neural network performance, enhancing computational efficiency and facilitating the training process.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Promoting Sparsity</span>: By zeroing out negative values, ReLU encourages a sparse representation, reducing the computational load and potentially leading to better model generalization.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Mitigating Vanishing Gradients</span>: ReLU addresses the vanishing gradient issue by ensuring that the gradient for positive inputs remains unaffected, thus maintaining a strong gradient signal across deep networks.</p></li></li></ul><p class="sc-5159831f-0">The evolutionary journey of activation functions reveals a constant search for efficiency and effectiveness. From sigmoid and tanh to ReLU, each step forward has been driven by the quest to overcome limitations of previous functions. The adoption of ReLU marks a significant milestone in this journey, reflecting a shift towards models that are not only powerful but also practical for large-scale applications. The question now is, what makes ReLU so uniquely suited to the demands of modern deep learning, and how has it reshaped our approach to neural network design?</p><h2 id="understanding-relu-and-its-mathematical-foundation" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Understanding ReLU and Its Mathematical Foundation</h2><p class="sc-5159831f-0">The Rectified Linear Unit (ReLU) has emerged as a cornerstone in the architecture of modern neural networks, celebrated for its straightforward yet effective approach. At its core, ReLU embodies a conceptually simple mathematical formula, <span font-weight="bold" class="sc-b323b31-0 caUwZV">f(x) = max(0, x)</span>, which has profound implications for deep learning methodologies. This section delves into the intricacies of ReLU, highlighting its mathematical underpinnings, operational mechanics, and its pivotal role in addressing some of the neural network training's most pressing challenges.</p><h3 id="the-mathematical-formula-of-relu" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">The Mathematical Formula of ReLU</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Basic Operation</span>: ReLU operates on a piecewise linear function that outputs the input directly if it is positive; otherwise, it outputs zero. This can be succinctly represented as <span font-weight="bold" class="sc-b323b31-0 caUwZV">f(x) = max(0, x)</span>.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Monotonic Nature</span>: As highlighted by a <a href="https://deepchecks.com/glossary/rectified-linear-unit-relu/#:~:text=ReLU%20formula%20is%20%3A%20f(x,range%20of%200%20to%20infinite">deepchecks.com</a> snippet, both ReLU and its derivative are monotonic functions. This implies that ReLU maintains a consistent gradient for all positive inputs, a characteristic that contributes to its effectiveness in deep learning models.</p></li></li></ul><h3 id="computational-efficiency-and-gradient-propagation" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Computational Efficiency and Gradient Propagation</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Simplicity and Efficiency</span>: The simplicity of ReLU's mathematical formulation translates directly into computational efficiency. Unlike the exponential operations required by sigmoid and tanh functions, ReLU can be computed with minimal processing, accelerating the forward and backward passes through the network.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Mitigating Vanishing Gradients</span>: Traditional activation functions like sigmoid and tanh suffer from the vanishing gradient problem, where gradients become extremely small, effectively halting the network's learning. ReLU alleviates this issue by ensuring that the gradient for positive inputs remains robust, facilitating continuous learning even in deep networks.</p></li></li></ul><h3 id="the-linearity-of-relu" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">The Linearity of ReLU</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Facilitating Optimization</span>: The linear nature of ReLU for positive values simplifies the optimization landscape. This linearity ensures that, for positive inputs, the gradient remains constant, avoiding the complications of non-linear gradients that can impede the training process.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Promotion of Sparse Representations</span>: By zeroing out negative inputs, ReLU naturally promotes sparsity within the neural network's activations. Sparse representations have been shown to contribute to more efficient and effective models, as they reduce the computational burden and help the model to focus on the most salient features.</p></li></li></ul><p class="sc-5159831f-0">The distinct characteristics of the Rectified Linear Unit—its simplicity, computational efficiency, and ability to mitigate the vanishing gradient problem—underscore its vital role in the ongoing development of neural network models. By fostering an environment where optimization is more straightforward and learning can proceed unimpeded by gradient-related challenges, ReLU stands out as a pivotal component in the architecture of contemporary deep learning solutions. Its adoption reflects a broader trend towards models that are not only powerful in their predictive capabilities but also pragmatic in terms of computational demands, enabling the scaling of neural networks to unprecedented levels of complexity and sophistication.</p><h2 id="advantages-and-applications-of-relu" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Advantages and Applications of ReLU</h2><p class="sc-5159831f-0">The Rectified Linear Unit (ReLU) has taken the deep learning world by storm, offering a blend of simplicity and performance that has seen it become the go-to activation function for many researchers and practitioners. This section explores the multifaceted advantages of ReLU, particularly in <a target="_blank" href="https://deepgram.com/ai-glossary/convolutional-neural-networks">convolutional neural networks</a> (CNNs), and its wide-ranging applications across deep learning domains.</p><h3 id="why-relu-reigns-supreme-in-deep-learning" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Why ReLU Reigns Supreme in Deep Learning</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Promotion of Sparsity</span>: ReLU's design inherently promotes sparsity by outputting zero for any negative input. This characteristic is pivotal because sparse representations mirror the way the human brain processes information—focusing on more significant, impactful stimuli and ignoring the rest. Sparsity, as supported by insights from <a target="_blank" href="https://www.analyticsvidhya.com/">analyticsvidhya.com</a>, enhances model interpretability and efficiency, a critical factor in large-scale neural networks.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Acceleration of Gradient Descent Convergence</span>: The simplicity of ReLU also translates to an acceleration in the convergence of stochastic <a target="_blank" href="https://deepgram.com/ai-glossary/online-gradient-descent">gradient descent</a> methods when compared to the traditional sigmoid and tanh functions. This acceleration is due to ReLU's linear, non-saturating form, which allows gradients to flow better during the <a target="_blank" href="https://deepgram.com/ai-glossary/backpropagation">backpropagation</a> process. As outlined by <a target="_blank" href="https://builtin.com/">builtin.com</a>, this can significantly reduce training times and computational costs, making deep learning models more accessible and scalable.</p></li></li></ul><h3 id="broad-spectrum-of-applications" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Broad Spectrum of Applications</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Dominance in Convolutional Neural Networks (CNNs)</span>: ReLU's advantages have made it especially popular in CNN architectures. Its ability to maintain gradient integrity over multiple layers without degradation is crucial for training deep networks efficiently. This has led to its widespread adoption in tasks that require the analysis of visual data, where CNNs excel.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Facilitating Advanced Image Recognition Tasks</span>: The application of ReLU in CNNs has propelled advances in image recognition technologies. Its efficiency in training deep networks allows for the development of models that can identify and classify images with high accuracy, closely mirroring human visual processing capabilities. This has profound implications for fields ranging from medical imaging, where it aids in the detection and diagnosis of diseases, to security, enabling more sophisticated facial recognition systems.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Enhancing Speech Recognition Systems</span>: Beyond image processing, ReLU has found applications in speech recognition, where the clarity and distinctness of signal processing are paramount. Here, ReLU's attributes help in building neural networks that can more effectively model the temporal and acoustic variability found in human speech, leading to systems that understand and process spoken language more accurately.</p></li></li></ul><h3 id="conclusion" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Conclusion</h3><p class="sc-5159831f-0">The distinct advantages of the Rectified Linear Unit, including the promotion of sparsity and acceleration of stochastic gradient descent convergence, underscore its pivotal role in the deep learning landscape. Coupled with its broad applicability in convolutional neural networks and tasks like image and speech recognition, ReLU's contributions are instrumental in pushing the boundaries of what deep learning models can achieve. Its simplicity, efficiency, and effectiveness make it a cornerstone of modern neural network design, facilitating advancements across a diverse array of applications that continue to transform technology and society.</p><p class="sc-5159831f-0"><div width="100%" class="sc-ace17a57-0 ldWHw component-img-wrapper" id="AGJOfobER-azW9kVyt5ZiA"><div class="sc-ace17a57-0 sc-5f7d928-0 iLvNR kritbo image-wrapper" width="fit-content" height="fit-content" display="flex"><img alt="" title="" loading="lazy" width="1796" height="1088" decoding="async" data-nimg="1" class="sc-3ec8aa52-0 jTMTOn desktop-image" style="color:transparent;object-fit:contain;background-size:contain;background-position:50% 50%;background-repeat:no-repeat;background-image:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 1796 1088'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3CfeColorMatrix values='1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 100 -1' result='s'/%3E%3CfeFlood x='0' y='0' width='100%25' height='100%25'/%3E%3CfeComposite operator='out' in='s'/%3E%3CfeComposite in2='SourceGraphic'/%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage width='100%25' height='100%25' x='0' y='0' preserveAspectRatio='none' style='filter: url(%23b);' href='/deepgram.jpg'/%3E%3C/svg%3E")" sizes="(min-width: 992px) 810px, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736518-screen-shot-2024-06-18-at-11-48-34-am.png&w=3840&q=75"/></div><div font-size="textSm" font-style="italic" class="sc-6293d692-0 jgEMAk"></div></div></p><h2 id="challenges-and-variants-of-relu" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Challenges and Variants of ReLU</h2><p class="sc-5159831f-0">Despite the widespread adoption and numerous benefits of the Rectified Linear Unit (ReLU) in deep learning models, it is not devoid of challenges. One notable issue is the "dying ReLU" problem, which can significantly hamper a model's learning process. Moreover, the development and implementation of ReLU variants aim to mitigate these drawbacks, enhancing model performance and reliability.</p><h3 id="the-dying-relu-problem" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">The "Dying ReLU" Problem</h3><p class="sc-5159831f-0">The "dying ReLU" phenomenon refers to a situation in which neurons in a network using ReLU as the activation function stop contributing to the learning process. This issue arises because ReLU outputs zero for any negative input, which, in turn, means that any neuron that outputs a negative value has a derivative of zero. Consequently, during the backpropagation process, these neurons receive no gradient and thus, do not update their weights anymore. Over time, this can lead to a significant portion of the network becoming inactive, essentially "dead", which severely limits the network's capacity to learn.</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Examples and Explanations</span>: As detailed on <a target="_blank" href="https://www.mygreatlearning.com/">mygreatlearning.com</a>, the dying ReLU problem can lead to the underutilization of a network's learning capacity, with potentially large sections of the network contributing nothing to the output. This is particularly problematic in deep networks, where the cumulative effect can be a substantial loss in model performance.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Data and Insights</span>: Research and analysis from <a target="_blank" href="https://machinelearningmastery.com/">machinelearningmastery.com</a> further illuminate how the dying ReLU can impact training dynamics. It shows that once a ReLU neuron gets into this dead state, it's challenging to revive it because the gradient through the function is zero, which stops the weight update process.</p></li></li></ul><h3 id="addressing-the-drawbacks-relu-variants" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Addressing the Drawbacks: ReLU Variants</h3><p class="sc-5159831f-0">To mitigate the limitations of the original ReLU function, several variants have been proposed. These include Leaky ReLU, Parametric ReLU (PReLU), and Exponential Linear Unit (ELU), each designed with mechanisms to overcome the dying ReLU issue and enhance model performance.</p><h4 id="leaky-relu" class="sc-4555ca6a-0 sc-42818e5a-3 gSWJsZ ipqlKg">Leaky ReLU</h4><p class="sc-5159831f-0">Leaky ReLU introduces a small, positive gradient for negative input values, which ensures that no neuron in the network completely "dies." Even when the input is less than zero, Leaky ReLU allows a small, non-zero, gradient which enables backpropagation to continue updating weights. This small change:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Prevents neurons from becoming inactive</span>, allowing the network to retain and utilize its full learning capacity.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Improves model performance</span>, especially in deep networks where the dying ReLU problem is more prevalent.</p></li></li></ul><h4 id="parametric-relu-prelu" class="sc-4555ca6a-0 sc-42818e5a-3 gSWJsZ ipqlKg">Parametric ReLU (PReLU)</h4><p class="sc-5159831f-0">Parametric ReLU builds on the concept of Leaky ReLU by introducing a learnable parameter that adjusts the slope of the negative part of the function. This adaptability allows the network to dynamically learn the most appropriate "leak" rate for negative inputs during the training process. PReLU's benefits include:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Dynamic adaptation</span>, which enhances the network's flexibility and capacity to model complex relationships.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Improved accuracy</span> in various tasks, as demonstrated in numerous studies, by effectively addressing the dying ReLU issue.</p></li></li></ul><h4 id="exponential-linear-unit-elu" class="sc-4555ca6a-0 sc-42818e5a-3 gSWJsZ ipqlKg">Exponential Linear Unit (ELU)</h4><p class="sc-5159831f-0">The Exponential Linear Unit (ELU) takes a different approach by using an exponential function for negative inputs. This not only prevents neurons from dying but also helps in normalizing the outputs, leading to faster convergence. Key advantages of ELU include:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Reducing the vanishing gradient problem</span>, thereby supporting more effective training of deep networks.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Faster learning and convergence</span>, as the exponential function helps in pulling mean activations closer to zero, which accelerates the learning process.</p></li></li></ul><p class="sc-5159831f-0">Each of these ReLU variants offers a unique solution to the challenges posed by the original ReLU function, enhancing the performance and reliability of neural networks across a wide range of applications. By addressing the dying ReLU issue, these variants ensure that networks can fully utilize their learning capacity, leading to more accurate and efficient models.</p><h2 id="practical-implementation-and-performance" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Practical Implementation and Performance</h2><p class="sc-5159831f-0">The transition from theoretical understanding to practical implementation marks a pivotal step in leveraging the power of the Rectified Linear Unit (ReLU) in neural networks. This journey involves coding ReLU in popular frameworks like TensorFlow or PyTorch, paying close attention to initialization methods, and applying regularization techniques to sidestep potential pitfalls like <a target="_blank" href="https://deepgram.com/ai-glossary/overfitting-%5Bunderfitting%5D(https://deepgram.com/ai-glossary/overfitting-underfitting)">overfitting</a>. A guide from towardsdatascience.com offers a straightforward pathway for integrating ReLU into your models, showcasing its simplicity and the profound impact it can have on training performance and time efficiency.</p><h3 id="basic-implementation-in-python" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Basic Implementation in Python</h3><p class="sc-5159831f-0">Implementing ReLU in Python using TensorFlow or PyTorch is remarkably straightforward, thanks to the user-friendly nature of these frameworks. Here's how you can seamlessly integrate ReLU into your neural networks:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">TensorFlow</span>: Using <span font-family="secondaryFont" class="sc-b323b31-0 sc-42818e5a-4 hqcSqI jpHeYz">tf.nn.relu</span> as the activation function in your layer definitions.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">PyTorch</span>: Applying <span font-family="secondaryFont" class="sc-b323b31-0 sc-42818e5a-4 hqcSqI jpHeYz">torch.nn.ReLU()</span> in your model's forward method.</p></li></li></ul><p class="sc-5159831f-0">These implementations underscore the efficiency of ReLU, contributing to shorter training times and enhanced model performance. The simplicity of coding ReLU allows for more time to be spent on refining the model's architecture and tuning <a target="_blank" href="https://deepgram.com/ai-glossary/hyperparameters">hyperparameters</a>, rather than grappling with the intricacies of activation function implementation.</p><h3 id="impact-on-training-time-and-performance" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Impact on Training Time and Performance</h3><p class="sc-5159831f-0">The adoption of ReLU has a tangible impact on the training dynamics of neural networks:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Reduced Training Time</span>: ReLU's non-saturating form facilitates faster convergence, significantly cutting down training time without compromising the accuracy.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Enhanced Performance</span>: Models utilizing ReLU often outperform those using traditional activation functions like sigmoid or tanh, particularly in deep learning tasks where vanishing gradients can impede learning in early layers.</p></li></li></ul><h3 id="considerations-for-using-relu" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Considerations for Using ReLU</h3><p class="sc-5159831f-0">While ReLU brings simplicity and efficiency to the table, certain considerations ensure its optimal use in practice:</p><h4 id="initialization-methods" class="sc-4555ca6a-0 sc-42818e5a-3 gSWJsZ ipqlKg">Initialization Methods</h4><p class="sc-5159831f-0">Proper weight initialization is crucial when using ReLU to prevent dead neurons and ensure a robust learning process. Strategies such as He initialization can be particularly effective, as they are tailored to address the needs of networks employing ReLU activation.</p><h4 id="regularization-techniques" class="sc-4555ca6a-0 sc-42818e5a-3 gSWJsZ ipqlKg">Regularization Techniques</h4><p class="sc-5159831f-0">To combat the risk of overfitting associated with ReLU, especially in complex models with a large number of parameters, incorporating regularization techniques becomes essential:</p><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Dropout</span>: Randomly omitting units from the network during training can prevent co-adaptation of features, making the model more robust.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">L2 Regularization</span>: Adding a penalty on the magnitude of coefficients can constrain the model's complexity, reducing the likelihood of overfitting.</p></li></li></ul><p class="sc-5159831f-0">By bearing in mind these considerations, practitioners can harness the full potential of ReLU, optimizing their models for superior performance and efficiency. The balance between the ease of implementation and the need for mindful application of ReLU encapsulates the nuanced approach required for advanced neural network design and execution.</p><p class="sc-5159831f-0"><div width="100%" class="sc-ace17a57-0 ldWHw component-img-wrapper" id="BhMk4l8yT9egZ1M4vCS0xg"><div class="sc-ace17a57-0 sc-5f7d928-0 iLvNR kritbo image-wrapper" width="fit-content" height="fit-content" display="flex"><img alt="" title="" loading="lazy" width="1794" height="1160" decoding="async" data-nimg="1" class="sc-3ec8aa52-0 jTMTOn desktop-image" style="color:transparent;object-fit:contain;background-size:contain;background-position:50% 50%;background-repeat:no-repeat;background-image:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 1794 1160'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3CfeColorMatrix values='1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 100 -1' result='s'/%3E%3CfeFlood x='0' y='0' width='100%25' height='100%25'/%3E%3CfeComposite operator='out' in='s'/%3E%3CfeComposite in2='SourceGraphic'/%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage width='100%25' height='100%25' x='0' y='0' preserveAspectRatio='none' style='filter: url(%23b);' href='/deepgram.jpg'/%3E%3C/svg%3E")" sizes="(min-width: 992px) 810px, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718736282-screen-shot-2024-06-18-at-11-44-36-am.png&w=3840&q=75"/></div><div font-size="textSm" font-style="italic" class="sc-6293d692-0 jgEMAk"></div></div></p><h2 id="comparative-analysis-with-other-activation-functions" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Comparative Analysis with Other Activation Functions</h2><p class="sc-5159831f-0">The realm of neural networks is rich with choices when it comes to activation functions, each bringing its own set of advantages and challenges to the table. Among these, the Rectified Linear Unit (ReLU) has carved out a niche for itself as a preferred option in numerous scenarios, thanks to its simplicity and efficiency. However, understanding when to use ReLU and when to opt for alternatives like sigmoid, tanh, or even ReLU's own variants, necessitates a closer look at their comparative dynamics.</p><h3 id="relu-vs-sigmoid-and-tanh" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">ReLU vs. Sigmoid and tanh</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Computational Efficiency</span>: ReLU stands out for its computational simplicity, as it involves straightforward thresholding at zero. This is in stark contrast to the sigmoid and tanh functions, which require more complex exponential computations. The guide on dremio.com highlights this efficiency, noting that ReLU's simple operation can significantly speed up the training process without the computational burden posed by sigmoid and tanh.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Gradient Propagation</span>: One of ReLU's most celebrated features is its capacity to alleviate the vanishing gradient problem, a common ailment when using sigmoid and tanh. These traditional functions tend to squash their input into a very small output range in a non-linear fashion, which can cause gradients to vanish during backpropagation, especially in deep networks. ReLU, with its linear and non-saturating form, allows gradients to flow through unchanged for positive inputs, ensuring that the network continues to learn.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Use Cases</span>: ReLU's dominance is most pronounced in deep learning models, particularly in convolutional neural networks (CNNs), where its ability to provide sparse activation and reduce the likelihood of vanishing gradients is crucial. Conversely, sigmoid and tanh might still find their niches in scenarios where a bounded output is necessary, such as in the output layer of <a target="_blank" href="https://deepgram.com/ai-glossary/binary-classification-ai">binary classification AI</a> models (sigmoid) or when modeling data that has been normalized to range between -1 and 1 (tanh).</p></li></li></ul><h3 id="when-to-consider-relu-variants" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">When to Consider ReLU Variants</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Addressing ReLU's Limitations</span>: While ReLU's simplicity is a boon, it's not without its downsides. The "dying ReLU" problem, where neurons become inactive and cease to contribute to the learning process, necessitates the consideration of ReLU variants. Insights from research at automl.org underscore the development of variants like Leaky ReLU, Parametric ReLU (PReLU), and Exponential Linear Unit (ELU) to counteract these issues.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Leaky ReLU and PReLU</span>: These variants introduce a small, positive gradient for negative inputs, thus keeping the neurons "alive" and ensuring that the network retains its learning capacity. They are particularly beneficial in models where the risk of neuron death is high, providing a safety net that mitigates this issue without departing too far from ReLU's original simplicity.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Exponential Linear Unit (ELU)</span>: ELU goes a step further by smoothly saturating for negative inputs, which can help with reducing the vanishing gradient problem even more effectively than ReLU. Its use, however, comes at the cost of increased computational complexity, making it a trade-off between improved learning dynamics and higher resource consumption.</p></li></li></ul><p class="sc-5159831f-0">In drawing comparisons across these activation functions, it's clear that the choice hinges on the specific demands of the model and the computational resources at hand. ReLU, with its straightforward operation and ability to facilitate efficient learning, stands as the go-to choice for many. Yet, the nuanced challenges posed by certain training scenarios may warrant a pivot towards its variants or entirely different functions like sigmoid and tanh, underscoring the importance of a tailored approach in neural network design.</p><h2 id="future-directions-and-conclusion" class="sc-4555ca6a-0 sc-42818e5a-3 kIEulY ipqlKg">Future Directions and Conclusion</h2><p class="sc-5159831f-0">The journey of the Rectified Linear Unit (ReLU) from its inception to becoming a cornerstone in deep learning architectures is a testament to the relentless pursuit of efficiency and performance in the field of artificial intelligence. As we stand at the cusp of new discoveries, the trajectory of ReLU and its variants promises to be as dynamic as the field itself. Let's delve into the ongoing research and potential future enhancements that continue to shape this exciting landscape.</p><h3 id="ongoing-research-into-relu-and-its-variants" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Ongoing Research into ReLU and Its Variants</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Exploration of New Variants</span>: Innovations such as Leaky ReLU, Parametric ReLU (PReLU), and Exponential Linear Unit (ELU) have addressed some of the limitations of the original ReLU function. Research highlighted by automl.org demonstrates a keen interest in evolving these variants further, aiming to optimize their performance across a broader spectrum of neural network architectures.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Addressing Dying Neurons</span>: The phenomenon of dying neurons in ReLU-activated networks has spurred research into mechanisms that can prevent this issue without compromising the computational efficiency that ReLU offers. Techniques that allow small gradients for negative inputs or adaptively adjust the activation function based on the learning phase are under exploration.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Hybrid Activation Functions</span>: The development of hybrid models that combine the benefits of ReLU with other activation functions is an area of burgeoning interest. These hybrids aim to leverage the simplicity and efficiency of ReLU while mitigating its shortcomings, such as the dying neuron problem and the lack of smoothness in its derivative.</p></li></li></ul><h3 id="the-critical-role-of-relu-in-neural-network-design" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">The Critical Role of ReLU in Neural Network Design</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Simplicity and Efficiency</span>: ReLU's straightforward mathematical formulation—returning the input if it's positive and zero otherwise—has drastically reduced the complexity of computations in neural networks, making it possible to train deeper and more complex models with greater efficiency.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Mitigating Vanishing Gradients</span>: By allowing positive gradients to pass through unchanged, ReLU has significantly alleviated the vanishing gradient problem, enabling models to learn faster and more effectively. This characteristic has been instrumental in the success of deep learning models, particularly in the fields of computer vision and <a target="_blank" href="https://deepgram.com/ai-glossary/natural-language-processing">natural language processing</a>.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Facilitating Sparse Representations</span>: ReLU promotes sparsity by setting negative inputs to zero, which has been shown to improve the robustness and performance of neural networks. This feature is especially beneficial in convolutional neural networks (CNNs) and autoencoders, where sparsity can lead to more efficient feature representations.</p></li></li></ul><h3 id="speculations-on-relus-evolution" class="sc-4555ca6a-0 sc-42818e5a-3 cGaypB ipqlKg">Speculations on ReLU's Evolution</h3><ul class="sc-ace17a57-0 sc-42818e5a-1 dslPBO dZzOHq"><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Towards More Adaptive Models</span>: As the field of deep learning evolves, there is a growing need for activation functions that can adapt to the specific characteristics of the data and the learning phase. Future variants of ReLU might incorporate mechanisms to dynamically adjust their behavior, offering the best of both worlds—efficiency and adaptability.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Integration with Novel Architectures</span>: The search for new neural network architectures that can tackle the ever-increasing complexity of tasks will likely see ReLU and its variants playing a pivotal role. Whether it's through enhancing existing models or enabling the development of entirely new ones, the evolution of ReLU will be closely intertwined with the progress in neural network design.</p></li></li><li class="sc-ace17a57-0 sc-42818e5a-0 PRHwk hegRkn"><li><p class="sc-5159831f-0"><span font-weight="bold" class="sc-b323b31-0 caUwZV">Cross-disciplinary Applications</span>: The versatility of ReLU has already seen it being applied beyond traditional deep learning tasks. As researchers explore its potential in areas such as reinforcement learning, generative models, and even quantum computing, ReLU's influence is set to expand, driving innovation across diverse domains.</p></li></li></ul><p class="sc-5159831f-0">The narrative of ReLU is far from complete. With each stride in research and application, it continues to redefine the boundaries of what's possible in artificial intelligence, underscoring the profound impact of seemingly simple innovations in the quest to mimic the intricacies of human intelligence.</p><p class="sc-5159831f-0"><div width="100%" class="sc-ace17a57-0 ldWHw component-img-wrapper" id="OcUPVLYOTdiOH90vXDPFbA"><div class="sc-ace17a57-0 sc-5f7d928-0 iLvNR kritbo image-wrapper" width="fit-content" height="fit-content" display="flex"><img alt="" title="" loading="lazy" width="1512" height="788" decoding="async" data-nimg="1" class="sc-3ec8aa52-0 jTMTOn desktop-image" style="color:transparent;object-fit:contain;background-size:contain;background-position:50% 50%;background-repeat:no-repeat;background-image:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 1512 788'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3CfeColorMatrix values='1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 100 -1' result='s'/%3E%3CfeFlood x='0' y='0' width='100%25' height='100%25'/%3E%3CfeComposite operator='out' in='s'/%3E%3CfeComposite in2='SourceGraphic'/%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage width='100%25' height='100%25' x='0' y='0' preserveAspectRatio='none' style='filter: url(%23b);' href='/deepgram.jpg'/%3E%3C/svg%3E")" sizes="(min-width: 992px) 810px, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F96965%2F1718528786-screen-shot-2024-06-16-at-2-06-22-am.png&w=3840&q=75"/></div><div font-size="textSm" font-style="italic" class="sc-6293d692-0 jgEMAk"></div></div></p></div></div></div><div height="100%" class="sc-6293d692-0 cqhOOc"><div width="100%" class="sc-ace17a57-0 bsQzxX"><div width="100%" class="sc-ace17a57-0 etKoXp"><div class="sc-ace17a57-0 dJCIVv"><a rel="" target="" title="AI Glossary Home" href="/ai-glossary" class="sc-e69ac761-0 eriglH"><div class="sc-ace17a57-0 ejPsAh"><span display="inline-flex" class="sc-b323b31-0 bZmEHx"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" fill="none" viewBox="0 0 24 24"><path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M3 10.5651c0-.5744 0-.8616.074-1.126a2 2 0 0 1 .318-.6502c.1633-.2208.39-.3971.8434-.7498l6.7823-5.2751c.3513-.2732.527-.4099.721-.4624a1 1 0 0 1 .5226 0c.194.0525.3697.1891.721.4624l6.7823 5.2751c.4534.3527.6801.529.8434.7498.1446.1955.2524.4159.318.6502.074.2644.074.5516.074 1.126V17.8c0 1.1201 0 1.6801-.218 2.108a2 2 0 0 1-.874.874C19.4802 21 18.9201 21 17.8 21H6.2c-1.1201 0-1.6802 0-2.108-.218a2 2 0 0 1-.874-.874C3 19.4801 3 18.9201 3 17.8z"></path></svg></span><span font-size="textMd" class="sc-b323b31-0 gWWWKc">Back to Glossary Home</span></div></a><div class="sc-ace17a57-0 sc-8e7440ad-0 bgSXGu etTmcu"><style data-emotion="css i44wyl">.css-i44wyl{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;position:relative;min-width:0;padding:0;margin:0;border:0;vertical-align:top;}</style><div class="MuiFormControl-root MuiTextField-root sc-55bcd36-0 xEeaM css-i44wyl" width="100%" backgroundShorthand="rgba(255, 255, 255, 0.1)" border="1px solid" borderColor="gray-200" borderRadius="8px" overflowX="hidden" overflowY="hidden"><style data-emotion="css-global 1prfaxn">@-webkit-keyframes mui-auto-fill{from{display:block;}}@keyframes mui-auto-fill{from{display:block;}}@-webkit-keyframes mui-auto-fill-cancel{from{display:block;}}@keyframes mui-auto-fill-cancel{from{display:block;}}</style><style data-emotion="css 2oi8w2">.css-2oi8w2{font-family:var(--font-inter, sans-serif);font-size:1.125rem;line-height:1.4375em;font-weight:400;color:#101014;box-sizing:border-box;position:relative;cursor:text;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;background-color:rgba(0, 0, 0, 0.06);border-top-left-radius:4px;border-top-right-radius:4px;-webkit-transition:background-color 200ms cubic-bezier(0.0, 0, 0.2, 1) 0ms;transition:background-color 200ms cubic-bezier(0.0, 0, 0.2, 1) 0ms;padding-left:12px;padding-right:12px;min-width:320px;min-height:44px;border-radius:4px;height:44px;background-color:#101014;}.css-2oi8w2.Mui-disabled{color:rgba(0, 0, 0, 0.38);cursor:default;}.css-2oi8w2:hover{background-color:rgba(0, 0, 0, 0.09);}@media (hover: none){.css-2oi8w2:hover{background-color:rgba(0, 0, 0, 0.06);}}.css-2oi8w2.Mui-focused{background-color:rgba(0, 0, 0, 0.06);}.css-2oi8w2.Mui-disabled{background-color:rgba(0, 0, 0, 0.12);}.css-2oi8w2 .MuiInputBase-input{padding-top:8px;color:#ffffff;}.css-2oi8w2:hover{background-color:#2C2C33;}.css-2oi8w2.Mui-focused{background-color:#2C2C33;}.css-2oi8w2 .MuiInputAdornment-positionStart{margin-top:0!important;}</style><div class="MuiInputBase-root MuiFilledInput-root MuiInputBase-colorPrimary MuiInputBase-formControl MuiInputBase-adornedStart MuiInputBase-adornedEnd css-2oi8w2"><style data-emotion="css 1lhwiv6">.css-1lhwiv6{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:0.01em;max-height:2em;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;white-space:nowrap;color:rgba(0, 0, 0, 0.54);margin-right:8px;color:#A9A9AD;margin-top:0;margin-top:0px;}.css-1lhwiv6.MuiInputAdornment-positionStart.css-1lhwiv6:not(.MuiInputAdornment-hiddenLabel){margin-top:16px;}</style><div class="MuiInputAdornment-root MuiInputAdornment-positionStart MuiInputAdornment-filled MuiInputAdornment-sizeMedium css-1lhwiv6"><span class="notranslate"></span><span display="inline-flex" class="sc-b323b31-0 bZmEHx"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 24 24"><path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m21 21-3.4999-3.5M20 11.5c0 4.6944-3.8056 8.5-8.5 8.5S3 16.1944 3 11.5 6.8056 3 11.5 3 20 6.8056 20 11.5"></path></svg></span></div><style data-emotion="css xrtpts">.css-xrtpts{font:inherit;letter-spacing:inherit;color:currentColor;padding:4px 0 5px;border:0;box-sizing:content-box;background:none;height:1.4375em;margin:0;-webkit-tap-highlight-color:transparent;display:block;min-width:0;width:100%;-webkit-animation-name:mui-auto-fill-cancel;animation-name:mui-auto-fill-cancel;-webkit-animation-duration:10ms;animation-duration:10ms;padding-top:25px;padding-right:0;padding-bottom:8px;padding-left:0;}.css-xrtpts::-webkit-input-placeholder{color:currentColor;opacity:0.42;-webkit-transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;}.css-xrtpts::-moz-placeholder{color:currentColor;opacity:0.42;-webkit-transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;}.css-xrtpts:-ms-input-placeholder{color:currentColor;opacity:0.42;-webkit-transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;}.css-xrtpts::-ms-input-placeholder{color:currentColor;opacity:0.42;-webkit-transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:opacity 200ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;}.css-xrtpts:focus{outline:0;}.css-xrtpts:invalid{box-shadow:none;}.css-xrtpts::-webkit-search-decoration{-webkit-appearance:none;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts::-webkit-input-placeholder{opacity:0!important;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts::-moz-placeholder{opacity:0!important;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts:-ms-input-placeholder{opacity:0!important;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts::-ms-input-placeholder{opacity:0!important;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts:focus::-webkit-input-placeholder{opacity:0.42;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts:focus::-moz-placeholder{opacity:0.42;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts:focus:-ms-input-placeholder{opacity:0.42;}label[data-shrink=false]+.MuiInputBase-formControl .css-xrtpts:focus::-ms-input-placeholder{opacity:0.42;}.css-xrtpts.Mui-disabled{opacity:1;-webkit-text-fill-color:rgba(0, 0, 0, 0.38);}.css-xrtpts:-webkit-autofill{-webkit-animation-duration:5000s;animation-duration:5000s;-webkit-animation-name:mui-auto-fill;animation-name:mui-auto-fill;}.css-xrtpts:-webkit-autofill{border-top-left-radius:inherit;border-top-right-radius:inherit;}</style><input aria-invalid="false" id=":R1jb5m:" name="search" placeholder="Search glossary..." type="text" class="MuiInputBase-input MuiFilledInput-input MuiInputBase-inputAdornedStart MuiInputBase-inputAdornedEnd css-xrtpts" value=""/><style data-emotion="css 1mpx2bd">.css-1mpx2bd{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;height:0.01em;max-height:2em;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;white-space:nowrap;color:rgba(0, 0, 0, 0.54);margin-right:8px;color:#A9A9AD;margin-top:0;}</style><div class="MuiInputAdornment-root MuiInputAdornment-positionStart MuiInputAdornment-outlined MuiInputAdornment-sizeMedium sc-55bcd36-2 ccmWmA css-1mpx2bd"><span class="notranslate"></span></div></div></div><div id="search-results" display="none" width="100%" class="sc-ace17a57-0 fVRrfC"><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gradient-clipping" class="sc-e69ac761-0 kmKRMV">Gradient Clipping</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/generative-adversarial-networks" class="sc-e69ac761-0 kmKRMV">Generative Adversarial Networks (GANs)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/rule-based-ai" class="sc-e69ac761-0 kmKRMV">Rule-Based AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-assistants" class="sc-e69ac761-0 kmKRMV">AI Assistants</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-voice-agents" class="sc-e69ac761-0 kmKRMV">AI Voice Agents</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/activation-functions" class="sc-e69ac761-0 kmKRMV">Activation Functions</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/dall-e" class="sc-e69ac761-0 kmKRMV">Dall-E</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/prompt-engineering" class="sc-e69ac761-0 kmKRMV">Prompt Engineering</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/text-to-speech-models" class="sc-e69ac761-0 kmKRMV">Text-to-Speech Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-agents" class="sc-e69ac761-0 kmKRMV">AI Agents</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hyperparameters" class="sc-e69ac761-0 kmKRMV">Hyperparameters</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-education" class="sc-e69ac761-0 kmKRMV">AI and Education</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-medicine" class="sc-e69ac761-0 kmKRMV">AI and Medicine</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/chess-bots" class="sc-e69ac761-0 kmKRMV">Chess bots</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/midjourney-image-generation" class="sc-e69ac761-0 kmKRMV">Midjourney (Image Generation)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/distilbert" class="sc-e69ac761-0 kmKRMV">DistilBERT</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mistral" class="sc-e69ac761-0 kmKRMV">Mistral</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/xlnet" class="sc-e69ac761-0 kmKRMV">XLNet</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/benchmarking" class="sc-e69ac761-0 kmKRMV">Benchmarking</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/llama-2" class="sc-e69ac761-0 kmKRMV">Llama 2</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/sentiment-analysis" class="sc-e69ac761-0 kmKRMV">Sentiment Analysis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/llm-collection" class="sc-e69ac761-0 kmKRMV">LLM Collection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/chatgpt" class="sc-e69ac761-0 kmKRMV">ChatGPT</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mixture-of-experts" class="sc-e69ac761-0 kmKRMV">Mixture of Experts</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/latent-dirichlet-allocation" class="sc-e69ac761-0 kmKRMV">Latent Dirichlet Allocation (LDA)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/roberta" class="sc-e69ac761-0 kmKRMV">RoBERTa</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/rlhf" class="sc-e69ac761-0 kmKRMV">RLHF</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multimodal-ai" class="sc-e69ac761-0 kmKRMV">Multimodal AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/transformers" class="sc-e69ac761-0 kmKRMV">Transformers</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/winnow-algorithm" class="sc-e69ac761-0 kmKRMV">Winnow Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/k-shingles" class="sc-e69ac761-0 kmKRMV">k-Shingles</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/flajolet-martin-algorithm" class="sc-e69ac761-0 kmKRMV">Flajolet-Martin Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/batch-gradient-descent" class="sc-e69ac761-0 kmKRMV">Batch Gradient Descent</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cure-algorithm" class="sc-e69ac761-0 kmKRMV">CURE Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/online-gradient-descent" class="sc-e69ac761-0 kmKRMV">Online Gradient Descent</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/zero-shot-classification-models" class="sc-e69ac761-0 kmKRMV">Zero-shot Classification Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/curse-of-dimensionality" class="sc-e69ac761-0 kmKRMV">Curse of Dimensionality</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/backpropagation" class="sc-e69ac761-0 kmKRMV">Backpropagation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/dimensionality-reduction" class="sc-e69ac761-0 kmKRMV">Dimensionality Reduction</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multimodal-learning" class="sc-e69ac761-0 kmKRMV">Multimodal Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gaussian-processes" class="sc-e69ac761-0 kmKRMV">Gaussian Processes</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-voice-transfer" class="sc-e69ac761-0 kmKRMV">AI Voice Transfer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gated-recurrent-unit" class="sc-e69ac761-0 kmKRMV">Gated Recurrent Unit</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/prompt-chaining" class="sc-e69ac761-0 kmKRMV">Prompt Chaining</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/approximate-dynamic-programming" class="sc-e69ac761-0 kmKRMV">Approximate Dynamic Programming</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/adversarial-machine-learning" class="sc-e69ac761-0 kmKRMV">Adversarial Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/bayesian-machine-learning" class="sc-e69ac761-0 kmKRMV">Bayesian Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/deep-reinforcement-learning" class="sc-e69ac761-0 kmKRMV">Deep Reinforcement Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/speech-to-text-models" class="sc-e69ac761-0 kmKRMV">Speech-to-text models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/grounding" class="sc-e69ac761-0 kmKRMV">Grounding</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feedforward-neural-network" class="sc-e69ac761-0 kmKRMV">Feedforward Neural Network</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/bert" class="sc-e69ac761-0 kmKRMV">BERT</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gradient-boosting-machines" class="sc-e69ac761-0 kmKRMV">Gradient Boosting Machines (GBMs)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/retrieval-augmented-generation" class="sc-e69ac761-0 kmKRMV">Retrieval-Augmented Generation (RAG)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/perceptron" class="sc-e69ac761-0 kmKRMV">Perceptron</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/overfitting-underfitting" class="sc-e69ac761-0 kmKRMV">Overfitting and Underfitting</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning" class="sc-e69ac761-0 kmKRMV">Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/large-language-model" class="sc-e69ac761-0 kmKRMV">Large Language Model (LLM)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/graphics-processing-unit-gpu" class="sc-e69ac761-0 kmKRMV">Graphics Processing Unit (GPU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/diffusion-model" class="sc-e69ac761-0 kmKRMV">Diffusion Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/classification" class="sc-e69ac761-0 kmKRMV">Classification</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/tensor-processing-unit-tpu" class="sc-e69ac761-0 kmKRMV">Tensor Processing Unit (TPU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-processing" class="sc-e69ac761-0 kmKRMV">Natural Language Processing (NLP)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/google-bard" class="sc-e69ac761-0 kmKRMV">Google's Bard</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/openai-whisper" class="sc-e69ac761-0 kmKRMV">OpenAI Whisper</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/sequence-modeling" class="sc-e69ac761-0 kmKRMV">Sequence Modeling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/precision-and-recall" class="sc-e69ac761-0 kmKRMV">Precision and Recall</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semantic-kernel" class="sc-e69ac761-0 kmKRMV">Semantic Kernel</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/fine-tuning-deep-learning" class="sc-e69ac761-0 kmKRMV">Fine Tuning in Deep Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gradient-scaling" class="sc-e69ac761-0 kmKRMV">Gradient Scaling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/alphago-zero" class="sc-e69ac761-0 kmKRMV">AlphaGo Zero</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cognitive-map" class="sc-e69ac761-0 kmKRMV">Cognitive Map</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/keyphrase-extraction" class="sc-e69ac761-0 kmKRMV">Keyphrase Extraction</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multimodal-aI-models-and-modalities" class="sc-e69ac761-0 kmKRMV">Multimodal AI Models and Modalities</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hidden-markov-models" class="sc-e69ac761-0 kmKRMV">Hidden Markov Models (HMMs)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-hardware" class="sc-e69ac761-0 kmKRMV">AI Hardware</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/deep-learning" class="sc-e69ac761-0 kmKRMV">Deep Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-generation" class="sc-e69ac761-0 kmKRMV">Natural Language Generation (NLG)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-understanding" class="sc-e69ac761-0 kmKRMV">Natural Language Understanding (NLU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/tokenization" class="sc-e69ac761-0 kmKRMV">Tokenization</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/word-embeddings" class="sc-e69ac761-0 kmKRMV">Word Embeddings</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-finance" class="sc-e69ac761-0 kmKRMV">AI and Finance</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/alphago" class="sc-e69ac761-0 kmKRMV">AlphaGo</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-recommendation-algorithms" class="sc-e69ac761-0 kmKRMV">AI Recommendation Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/binary-classification-ai" class="sc-e69ac761-0 kmKRMV">Binary Classification AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-generated-music" class="sc-e69ac761-0 kmKRMV">AI Generated Music</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neuralink" class="sc-e69ac761-0 kmKRMV">Neuralink</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-video-generation" class="sc-e69ac761-0 kmKRMV">AI Video Generation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/openai-sora" class="sc-e69ac761-0 kmKRMV">OpenAI Sora</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hooke-jeeves-algorithm" class="sc-e69ac761-0 kmKRMV">Hooke-Jeeves Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mamba" class="sc-e69ac761-0 kmKRMV">Mamba</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/central-processing-unit-cpu" class="sc-e69ac761-0 kmKRMV">Central Processing Unit (CPU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/generative-ai" class="sc-e69ac761-0 kmKRMV">Generative AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/representation-learning" class="sc-e69ac761-0 kmKRMV">Representation Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-in-customer-service" class="sc-e69ac761-0 kmKRMV">AI in Customer Service</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/conditional-variational-autoencoders" class="sc-e69ac761-0 kmKRMV">Conditional Variational Autoencoders</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/conversational-ai" class="sc-e69ac761-0 kmKRMV">Conversational AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/packages-glossary" class="sc-e69ac761-0 kmKRMV">Packages</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/models" class="sc-e69ac761-0 kmKRMV">Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/fundamentals" class="sc-e69ac761-0 kmKRMV">Fundamentals</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/datasets" class="sc-e69ac761-0 kmKRMV">Datasets</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/techniques" class="sc-e69ac761-0 kmKRMV">Techniques</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-lifecycle-management" class="sc-e69ac761-0 kmKRMV">AI Lifecycle Management</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-literacy" class="sc-e69ac761-0 kmKRMV">AI Literacy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-monitoring" class="sc-e69ac761-0 kmKRMV">AI Monitoring</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-oversight" class="sc-e69ac761-0 kmKRMV">AI Oversight</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-privacy" class="sc-e69ac761-0 kmKRMV">AI Privacy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-prototyping" class="sc-e69ac761-0 kmKRMV">AI Prototyping</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-regulation" class="sc-e69ac761-0 kmKRMV">AI Regulation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-resilience" class="sc-e69ac761-0 kmKRMV">AI Resilience</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-bias" class="sc-e69ac761-0 kmKRMV">Machine Learning Bias</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-life-cycle-management" class="sc-e69ac761-0 kmKRMV">Machine Learning Life Cycle Management</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-translation" class="sc-e69ac761-0 kmKRMV">Machine Translation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mlops" class="sc-e69ac761-0 kmKRMV">MLOps</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/monte-carlo-learning" class="sc-e69ac761-0 kmKRMV">Monte Carlo Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multi-task-learning" class="sc-e69ac761-0 kmKRMV">Multi-task Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/naive-bayes-classifier" class="sc-e69ac761-0 kmKRMV">Naive Bayes Classifier</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-neuron" class="sc-e69ac761-0 kmKRMV">Machine Learning Neuron</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pooling-machine-learning" class="sc-e69ac761-0 kmKRMV">Pooling (Machine Learning)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/principal-component-analysis" class="sc-e69ac761-0 kmKRMV">Principal Component Analysis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-preprocessing" class="sc-e69ac761-0 kmKRMV">Machine Learning Preprocessing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/rectified-linear-unit-relu" class="sc-e69ac761-0 iUnKGS">Rectified Linear Unit (ReLU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/reproducibility-machine-learning" class="sc-e69ac761-0 kmKRMV">Reproducibility in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/restricted-boltzmann-machines" class="sc-e69ac761-0 kmKRMV">Restricted Boltzmann Machines</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semi-supervised-learning" class="sc-e69ac761-0 kmKRMV">Semi-Supervised Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/supervised-learning" class="sc-e69ac761-0 kmKRMV">Supervised Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/support-vector-machines-svm" class="sc-e69ac761-0 kmKRMV">Support Vector Machines (SVM)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/topic-modeling" class="sc-e69ac761-0 kmKRMV">Topic Modeling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/uncertainty-machine-learning" class="sc-e69ac761-0 kmKRMV">Uncertainty in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/vanishing-and-exploding-gradients" class="sc-e69ac761-0 kmKRMV">Vanishing and Exploding Gradients</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-interpretability" class="sc-e69ac761-0 kmKRMV">AI Interpretability</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-labeling" class="sc-e69ac761-0 kmKRMV">Data Labeling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/inference-engine" class="sc-e69ac761-0 kmKRMV">Inference Engine</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/probabilistic-models-in-machine-learning" class="sc-e69ac761-0 kmKRMV">Probabilistic Models in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/f1-score-machine-learning" class="sc-e69ac761-0 kmKRMV">F1 Score in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/expectation-maximization" class="sc-e69ac761-0 kmKRMV">Expectation Maximization</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/beam-search-algorithm" class="sc-e69ac761-0 kmKRMV">Beam Search Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/embedding-layer" class="sc-e69ac761-0 kmKRMV">Embedding Layer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/differential-privacy" class="sc-e69ac761-0 kmKRMV">Differential Privacy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-poisoning" class="sc-e69ac761-0 kmKRMV">Data Poisoning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/causal-inference" class="sc-e69ac761-0 kmKRMV">Causal Inference</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/capsule-neural-network" class="sc-e69ac761-0 kmKRMV">Capsule Neural Network</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/attention-mechanisms" class="sc-e69ac761-0 kmKRMV">Attention Mechanisms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/domain-adaptation" class="sc-e69ac761-0 kmKRMV">Domain Adaptation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/evolutionary-algorithms" class="sc-e69ac761-0 kmKRMV">Evolutionary Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/contrastive-learning" class="sc-e69ac761-0 kmKRMV">Contrastive Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/explainable-ai" class="sc-e69ac761-0 kmKRMV">Explainable AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/affective-ai" class="sc-e69ac761-0 kmKRMV">Affective AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semantic-networks" class="sc-e69ac761-0 kmKRMV">Semantic Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-augmentation" class="sc-e69ac761-0 kmKRMV">Data Augmentation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/convolutional-neural-networks" class="sc-e69ac761-0 kmKRMV">Convolutional Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cognitive-computing" class="sc-e69ac761-0 kmKRMV">Cognitive Computing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/end-to-end-learning" class="sc-e69ac761-0 kmKRMV">End-to-end Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/prompt-tuning" class="sc-e69ac761-0 kmKRMV">Prompt Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/double-descent" class="sc-e69ac761-0 kmKRMV">Double Descent</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/model-drift" class="sc-e69ac761-0 kmKRMV">Model Drift</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-radiance-fields" class="sc-e69ac761-0 kmKRMV">Neural Radiance Fields</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/regularization" class="sc-e69ac761-0 kmKRMV">Regularization</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-querying" class="sc-e69ac761-0 kmKRMV">Natural Language Querying (NLQ)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/foundation-models" class="sc-e69ac761-0 kmKRMV">Foundation Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/forward-propagation" class="sc-e69ac761-0 kmKRMV">Forward Propagation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/f2-score" class="sc-e69ac761-0 kmKRMV">F2 Score</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-ethics" class="sc-e69ac761-0 kmKRMV">AI Ethics</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/transfer-learning" class="sc-e69ac761-0 kmKRMV">Transfer Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-alignment" class="sc-e69ac761-0 kmKRMV">AI Alignment</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/whisper-v3" class="sc-e69ac761-0 kmKRMV">Whisper v3</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/whisper-v2" class="sc-e69ac761-0 kmKRMV">Whisper v2</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semi-structured-data" class="sc-e69ac761-0 kmKRMV">Semi-structured data</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-hallucinations" class="sc-e69ac761-0 kmKRMV">AI Hallucinations</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/emergent-behavior" class="sc-e69ac761-0 kmKRMV">Emergent Behavior</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/matplotlib" class="sc-e69ac761-0 kmKRMV">Matplotlib</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/numpy" class="sc-e69ac761-0 kmKRMV">NumPy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/scikit-learn" class="sc-e69ac761-0 kmKRMV">Scikit-learn</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/scipy" class="sc-e69ac761-0 kmKRMV">SciPy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/keras" class="sc-e69ac761-0 kmKRMV">Keras</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/tensorflow" class="sc-e69ac761-0 kmKRMV">TensorFlow</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/seaborn-python-package" class="sc-e69ac761-0 kmKRMV">Seaborn Python Package</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pytorch" class="sc-e69ac761-0 kmKRMV">PyTorch</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-toolkit-nltk" class="sc-e69ac761-0 kmKRMV">Natural Language Toolkit (NLTK)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pandas" class="sc-e69ac761-0 kmKRMV">Pandas</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ego-4d" class="sc-e69ac761-0 kmKRMV">Ego 4D</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/the-pile" class="sc-e69ac761-0 kmKRMV">The Pile</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/common-crawl-datasets" class="sc-e69ac761-0 kmKRMV">Common Crawl Datasets</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/squad" class="sc-e69ac761-0 kmKRMV">SQuAD</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/intelligent-document-processing" class="sc-e69ac761-0 kmKRMV">Intelligent Document Processing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hyperparameter-tuning" class="sc-e69ac761-0 kmKRMV">Hyperparameter Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/Markov-decision-process" class="sc-e69ac761-0 kmKRMV">Markov Decision Process</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/graph-neural-networks" class="sc-e69ac761-0 kmKRMV">Graph Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-architecture-search" class="sc-e69ac761-0 kmKRMV">Neural Architecture Search</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ablation" class="sc-e69ac761-0 kmKRMV">Ablation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/knowledge-distillation" class="sc-e69ac761-0 kmKRMV">Knowledge Distillation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/model-interpretability" class="sc-e69ac761-0 kmKRMV">Model Interpretability</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/out-of-distribution-detection" class="sc-e69ac761-0 kmKRMV">Out-of-Distribution Detection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/recurrent-neural-networks" class="sc-e69ac761-0 kmKRMV">Recurrent Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/active-learning" class="sc-e69ac761-0 kmKRMV">Active Learning (Machine Learning)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/imbalanced-data" class="sc-e69ac761-0 kmKRMV">Imbalanced Data</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/loss-function" class="sc-e69ac761-0 kmKRMV">Loss Function</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/unsupervised-learning" class="sc-e69ac761-0 kmKRMV">Unsupervised Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-big-data" class="sc-e69ac761-0 kmKRMV">AI and Big Data</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/adagrad" class="sc-e69ac761-0 kmKRMV">AdaGrad</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/clustering-algorithms" class="sc-e69ac761-0 kmKRMV">Clustering Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/parametric-neural-networks%C2%A0" class="sc-e69ac761-0 kmKRMV">Parametric Neural Networks </a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/acoustic-models" class="sc-e69ac761-0 kmKRMV">Acoustic Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/articulatory-synthesis" class="sc-e69ac761-0 kmKRMV">Articulatory Synthesis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/concatenative-synthesis" class="sc-e69ac761-0 kmKRMV">Concatenative Synthesis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/grapheme-to-phoneme-conversion-g2p" class="sc-e69ac761-0 kmKRMV">Grapheme-to-Phoneme Conversion (G2P)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/homograph-disambiguation" class="sc-e69ac761-0 kmKRMV">Homograph Disambiguation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-text-to-speech-ntts" class="sc-e69ac761-0 kmKRMV">Neural Text-to-Speech (NTTS)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/voice-cloning" class="sc-e69ac761-0 kmKRMV">Voice Cloning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/autoregressive-model" class="sc-e69ac761-0 kmKRMV">Autoregressive Model</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/candidate-sampling" class="sc-e69ac761-0 kmKRMV">Candidate Sampling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-algorithmic-trading" class="sc-e69ac761-0 kmKRMV">Machine Learning in Algorithmic Trading</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-creativity" class="sc-e69ac761-0 kmKRMV">Computational Creativity</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/context-aware-computing" class="sc-e69ac761-0 kmKRMV">Context-Aware Computing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-emotion-recognition" class="sc-e69ac761-0 kmKRMV">AI Emotion Recognition</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/knowledge-representation-and-reasoning" class="sc-e69ac761-0 kmKRMV">Knowledge Representation and Reasoning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/metacognitive-learning-models" class="sc-e69ac761-0 kmKRMV">Metacognitive Learning Models </a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/synthetic-data-for-ai-training" class="sc-e69ac761-0 kmKRMV">Synthetic Data for AI Training</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-speech-enhancement" class="sc-e69ac761-0 kmKRMV">AI Speech Enhancement</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/counterfactual-explanations-in-ai" class="sc-e69ac761-0 kmKRMV">Counterfactual Explanations in AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/eco-friendly-ai" class="sc-e69ac761-0 kmKRMV">Eco-friendly AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feature-store-for-machine-learning" class="sc-e69ac761-0 kmKRMV">Feature Store for Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/generative-teaching-networks" class="sc-e69ac761-0 kmKRMV">Generative Teaching Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/human-centered-ai" class="sc-e69ac761-0 kmKRMV">Human-centered AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/metaheuristic-algorithms" class="sc-e69ac761-0 kmKRMV">Metaheuristic Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/statistical-relational-learning" class="sc-e69ac761-0 kmKRMV">Statistical Relational Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cognitive-architectures" class="sc-e69ac761-0 kmKRMV">Cognitive Architectures</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-phenotyping" class="sc-e69ac761-0 kmKRMV">Computational Phenotyping</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/continuous-learning-systems" class="sc-e69ac761-0 kmKRMV">Continuous Learning Systems</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/deepfake-detection" class="sc-e69ac761-0 kmKRMV">Deepfake Detection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/one-shot-learning" class="sc-e69ac761-0 kmKRMV">One-Shot Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/quantum-machine-learning-algorithms" class="sc-e69ac761-0 kmKRMV">Quantum Machine Learning Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/self-healing-ai" class="sc-e69ac761-0 kmKRMV">Self-healing AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semantic-search-algorithms" class="sc-e69ac761-0 kmKRMV">Semantic Search Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/artificial-super-intelligence" class="sc-e69ac761-0 kmKRMV">Artificial Super Intelligence</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-guardrails" class="sc-e69ac761-0 kmKRMV">AI Guardrails</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/limited-memory-ai" class="sc-e69ac761-0 kmKRMV">Limited Memory AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/chatbots" class="sc-e69ac761-0 kmKRMV">Chatbots</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/diffusion" class="sc-e69ac761-0 kmKRMV">Diffusion</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hidden-layer" class="sc-e69ac761-0 kmKRMV">Hidden Layer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/instruction-tuning" class="sc-e69ac761-0 kmKRMV">Instruction Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/objective-function" class="sc-e69ac761-0 kmKRMV">Objective Function</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pretraining" class="sc-e69ac761-0 kmKRMV">Pretraining</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/symbolic-ai" class="sc-e69ac761-0 kmKRMV">Symbolic AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/auto-classification" class="sc-e69ac761-0 kmKRMV">Auto Classification</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/composite-ai" class="sc-e69ac761-0 kmKRMV">Composite AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-lingustics" class="sc-e69ac761-0 kmKRMV">Computational Linguistics</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-semantics" class="sc-e69ac761-0 kmKRMV">Computational Semantics</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-drift" class="sc-e69ac761-0 kmKRMV">Data Drift</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/named-entity-recognition" class="sc-e69ac761-0 kmKRMV">Named Entity Recognition</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/few-shot-learning" class="sc-e69ac761-0 kmKRMV">Few Shot Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multitask-prompt-tuning" class="sc-e69ac761-0 kmKRMV">Multitask Prompt Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/part-of-speech-tagging" class="sc-e69ac761-0 kmKRMV">Part-of-Speech Tagging</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/random-forest" class="sc-e69ac761-0 kmKRMV">Random Forest</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/validation-data-set" class="sc-e69ac761-0 kmKRMV">Validation Data Set</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/test-data-set" class="sc-e69ac761-0 kmKRMV">Test Data Set</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-style-transfer" class="sc-e69ac761-0 kmKRMV">Neural Style Transfer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/incremental-learning" class="sc-e69ac761-0 kmKRMV">Incremental Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/bias-variance-tradeoff" class="sc-e69ac761-0 kmKRMV">Bias-Variance Tradeoff</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multi-agent-systems" class="sc-e69ac761-0 kmKRMV">Multi-Agent Systems</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neuroevolution" class="sc-e69ac761-0 kmKRMV">Neuroevolution</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/spike-neural-networks" class="sc-e69ac761-0 kmKRMV">Spike Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/federated-learning" class="sc-e69ac761-0 kmKRMV">Federated Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/human-in-the-loop-ai" class="sc-e69ac761-0 kmKRMV">Human-in-the-Loop AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/association-rule-learning" class="sc-e69ac761-0 kmKRMV">Association Rule Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/autoencoder" class="sc-e69ac761-0 kmKRMV">Autoencoder</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/collaborative-filtering" class="sc-e69ac761-0 kmKRMV">Collaborative Filtering</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-scarcity" class="sc-e69ac761-0 kmKRMV">Data Scarcity</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/decision-tree" class="sc-e69ac761-0 kmKRMV">Decision Tree</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ensemble-learning" class="sc-e69ac761-0 kmKRMV">Ensemble Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/entropy" class="sc-e69ac761-0 kmKRMV">Entropy in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/corpus" class="sc-e69ac761-0 kmKRMV">Corpus in NLP</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/confirmation-bias" class="sc-e69ac761-0 kmKRMV">Confirmation Bias in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/confidence-intervals" class="sc-e69ac761-0 kmKRMV">Confidence Intervals in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cross-validation" class="sc-e69ac761-0 kmKRMV">Cross Validation in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/accuracy" class="sc-e69ac761-0 kmKRMV">Accuracy in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/clustering" class="sc-e69ac761-0 kmKRMV">Clustering in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/boosting" class="sc-e69ac761-0 kmKRMV">Boosting in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/epoch" class="sc-e69ac761-0 kmKRMV">Epoch in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feature-learning" class="sc-e69ac761-0 kmKRMV">Feature Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feature-selection" class="sc-e69ac761-0 kmKRMV">Feature Selection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/genetic-algorithms" class="sc-e69ac761-0 kmKRMV">Genetic Algorithms in AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ground-truth" class="sc-e69ac761-0 kmKRMV">Ground Truth in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hybrid-ai" class="sc-e69ac761-0 kmKRMV">Hybrid AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-detection" class="sc-e69ac761-0 kmKRMV">AI Detection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/information-retrieval" class="sc-e69ac761-0 kmKRMV">Information Retrieval</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-robustness" class="sc-e69ac761-0 kmKRMV">AI Robustness</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-safety" class="sc-e69ac761-0 kmKRMV">AI Safety</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-scalability" class="sc-e69ac761-0 kmKRMV">AI Scalability</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-simulation" class="sc-e69ac761-0 kmKRMV">AI Simulation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-standards" class="sc-e69ac761-0 kmKRMV">AI Standards</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-steering" class="sc-e69ac761-0 kmKRMV">AI Steering</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-transparency" class="sc-e69ac761-0 kmKRMV">AI Transparency</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/augmented-intelligence" class="sc-e69ac761-0 kmKRMV">Augmented Intelligence</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/decision-intelligence" class="sc-e69ac761-0 kmKRMV">Decision Intelligence</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ethical-ai" class="sc-e69ac761-0 kmKRMV">Ethical AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/human-augmentation-with-ai" class="sc-e69ac761-0 kmKRMV">Human Augmentation with AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/image-recognition" class="sc-e69ac761-0 kmKRMV">Image Recognition</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/imagenet" class="sc-e69ac761-0 kmKRMV">ImageNet</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/inductive-bias" class="sc-e69ac761-0 kmKRMV">Inductive Bias</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/learning-rate" class="sc-e69ac761-0 kmKRMV">Learning Rate</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/learning-to-rank" class="sc-e69ac761-0 kmKRMV">Learning To Rank</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/logits" class="sc-e69ac761-0 kmKRMV">Logits</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/applications" class="sc-e69ac761-0 kmKRMV">Applications</a></div></div><ul display="none" class="sc-662dedcb-0 bnHyYY"><li class="sc-ace17a57-0 goWpow"><a rel="" target="" font-size="textLg" font-weight="medium" title="AI Glossary Home" href="/ai-glossary" class="sc-e69ac761-0 bKOSlQ"><span display="inline-flex" class="sc-b323b31-0 bZmEHx"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 24 24"><path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M3 10.5651c0-.5744 0-.8616.074-1.126a2 2 0 0 1 .318-.6502c.1633-.2208.39-.3971.8434-.7498l6.7823-5.2751c.3513-.2732.527-.4099.721-.4624a1 1 0 0 1 .5226 0c.194.0525.3697.1891.721.4624l6.7823 5.2751c.4534.3527.6801.529.8434.7498.1446.1955.2524.4159.318.6502.074.2644.074.5516.074 1.126V17.8c0 1.1201 0 1.6801-.218 2.108a2 2 0 0 1-.874.874C19.4802 21 18.9201 21 17.8 21H6.2c-1.1201 0-1.6802 0-2.108-.218a2 2 0 0 1-.874-.874C3 19.4801 3 18.9201 3 17.8z"></path></svg></span></a></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 zDyKW css-ak4akz" tabindex="0" type="button" href="" target="_self" title="AI Glossary Categories"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">#</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">A</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">B</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">C</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">D</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">E</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">F</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">G</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">H</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">I</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">K</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">L</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">M</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">N</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">O</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">P</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">Q</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 dTOZsF css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">R</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">S</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">T</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">U</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">V</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">W</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">X</span></button></li><li class="sc-ace17a57-0 goWpow"><style data-emotion="css q0kznr">.css-q0kznr{font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-q0kznr:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-q0kznr:hover{background-color:transparent;}}.css-q0kznr.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-q0kznr::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-q0kznr:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-q0kznr:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-q0kznr.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><style data-emotion="css ak4akz">.css-ak4akz{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;position:relative;box-sizing:border-box;-webkit-tap-highlight-color:transparent;background-color:transparent;outline:0;border:0;margin:0;border-radius:0;padding:0;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;vertical-align:middle;-moz-appearance:none;-webkit-appearance:none;-webkit-text-decoration:none;text-decoration:none;color:inherit;font-family:var(--font-inter, sans-serif);font-size:0.875rem;line-height:1.75rem;font-weight:700;text-transform:uppercase;min-width:64px;padding:6px 8px;border-radius:4px;-webkit-transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:background-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,box-shadow 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,border-color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms,color 250ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;color:#00E062;min-width:0;text-transform:capitalize;font-weight:600;border-radius:4px;font-size:1rem;padding-left:2rem;padding-right:2rem;-webkit-transition:unset;transition:unset;white-space:nowrap;position:relative;font-size:1rem;line-height:2;padding-left:1.25rem;padding-right:1.25rem;color:#79AFFA;padding:0;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.css-ak4akz::-moz-focus-inner{border-style:none;}.css-ak4akz.Mui-disabled{pointer-events:none;cursor:default;}@media print{.css-ak4akz{-webkit-print-color-adjust:exact;color-adjust:exact;}}.css-ak4akz:hover{-webkit-text-decoration:none;text-decoration:none;background-color:rgba(0, 224, 98, 0.04);}@media (hover: none){.css-ak4akz:hover{background-color:transparent;}}.css-ak4akz.Mui-disabled{color:rgba(0, 0, 0, 0.26);}.css-ak4akz::before{content:"";position:absolute;width:100%;height:100%;top:-1px;left:-1px;z-index:0;opacity:0;-webkit-transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;transition:opacity 100ms ease-in-out,background-position 400ms ease-in-out;border-radius:4px;box-sizing:content-box;padding:1px;}.css-ak4akz:hover{color:#ffffff;-webkit-text-decoration:underline;text-decoration:underline;background-color:transparent;}.css-ak4akz:focus-visible{color:#ffffff;-webkit-text-decoration:none;text-decoration:none;border-radius:4px;outline:2px solid #687EF7;outline-offset:3px;}.css-ak4akz.Mui-disabled{color:#96A2FF;opacity:0.5;}</style><button class="MuiButtonBase-root MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary MuiButton-root MuiButton-text MuiButton-textPrimary MuiButton-sizeMedium MuiButton-textSizeMedium MuiButton-colorPrimary sc-d74559df-0 iotBFW css-ak4akz" tabindex="0" type="button" href="" target="_self"><span class="sc-b323b31-0 btXZGI button-label" display="inline-flex">Z</span></button></li></ul></div><div class="sc-ace17a57-0 sc-8e7440ad-1 kpvNPn cxZbdr"><div data-letter="#" class="sc-ace17a57-0 hrNfIL"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 lnNnlT">AI Glossary Categories</span><ul display="none" class="sc-ace17a57-0 itDcJo"><button width="fit-content" cursor="pointer" height="32" class="sc-ace17a57-0 drAJUB"><span display="inline-flex" class="sc-b323b31-0 dKGACE"><svg width="14" height="14" fill="gray-200" stroke="gray-200"><use href="/svgs/icons-updated.svg#plus-icon=solid"></use></svg></span><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jBPWIy">Datasets</span></button><button width="fit-content" cursor="pointer" height="32" class="sc-ace17a57-0 drAJUB"><span display="inline-flex" class="sc-b323b31-0 dKGACE"><svg width="14" height="14" fill="gray-200" stroke="gray-200"><use href="/svgs/icons-updated.svg#plus-icon=solid"></use></svg></span><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jBPWIy">Fundamentals</span></button><button width="fit-content" cursor="pointer" height="32" class="sc-ace17a57-0 drAJUB"><span display="inline-flex" class="sc-b323b31-0 dKGACE"><svg width="14" height="14" fill="gray-200" stroke="gray-200"><use href="/svgs/icons-updated.svg#plus-icon=solid"></use></svg></span><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jBPWIy">Models</span></button><button width="fit-content" cursor="pointer" height="32" class="sc-ace17a57-0 drAJUB"><span display="inline-flex" class="sc-b323b31-0 dKGACE"><svg width="14" height="14" fill="gray-200" stroke="gray-200"><use href="/svgs/icons-updated.svg#plus-icon=solid"></use></svg></span><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jBPWIy">Packages</span></button><button width="fit-content" cursor="pointer" height="32" class="sc-ace17a57-0 drAJUB"><span display="inline-flex" class="sc-b323b31-0 dKGACE"><svg width="14" height="14" fill="gray-200" stroke="gray-200"><use href="/svgs/icons-updated.svg#plus-icon=solid"></use></svg></span><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jBPWIy">Techniques</span></button></ul><div class="sc-ace17a57-0 juchfq"><div width="100%" class="sc-ace17a57-0 bjeAPm"><label id="aria-label-" font-weight="medium" class="sc-b323b31-0 jOcNrR"></label><style data-emotion="css 1l7hvq4-container">.css-1l7hvq4-container{position:relative;box-sizing:border-box;min-width:100%;max-width:100%;opacity:1;}</style><div class=" css-1l7hvq4-container"><style data-emotion="css 7pg0cj-a11yText">.css-7pg0cj-a11yText{z-index:9999;border:0;clip:rect(1px, 1px, 1px, 1px);height:1px;width:1px;position:absolute;overflow:hidden;padding:0;white-space:nowrap;}</style><span id="react-select-2-live-region" class="css-7pg0cj-a11yText"></span><span aria-live="polite" aria-atomic="false" aria-relevant="additions text" role="log" class="css-7pg0cj-a11yText"></span><style data-emotion="css 2vgbxd-control">.css-2vgbxd-control{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;cursor:default;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;min-height:44px;outline:0!important;position:relative;-webkit-transition:all 100ms;transition:all 100ms;background-color:#101014;border-color:#4E4E52;border-radius:8px;border-style:solid;border-width:1px;box-shadow:0px 1px 2px rgba(38, 44, 52, 0.05);box-sizing:border-box;font-size:1rem;line-height:1.5rem;color:#101014;}.css-2vgbxd-control:hover{border-color:#CECED2;}</style><div class=" css-2vgbxd-control"><style data-emotion="css hlgwow">.css-hlgwow{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:grid;-webkit-flex:1;-ms-flex:1;flex:1;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-overflow-scrolling:touch;position:relative;overflow:hidden;padding:2px 8px;box-sizing:border-box;}</style><div class=" css-hlgwow"><style data-emotion="css 1c5acm8-placeholder">.css-1c5acm8-placeholder{grid-area:1/1/2/3;color:#E1E1E5;margin-left:2px;margin-right:2px;box-sizing:border-box;}</style><div class=" css-1c5acm8-placeholder" id="react-select-2-placeholder">Categories</div><style data-emotion="css 1hac4vs-dummyInput">.css-1hac4vs-dummyInput{background:0;border:0;caret-color:transparent;font-size:inherit;grid-area:1/1/2/3;outline:0;padding:0;width:1px;color:transparent;left:-100px;opacity:0;position:relative;-webkit-transform:scale(.01);-moz-transform:scale(.01);-ms-transform:scale(.01);transform:scale(.01);}</style><input id="react-select-2-input" tabindex="0" inputMode="none" aria-autocomplete="list" aria-expanded="false" aria-haspopup="true" aria-label="Dropdown" aria-labelledby="aria-label-" role="combobox" aria-activedescendant="" aria-readonly="true" aria-describedby="react-select-2-placeholder" class="css-1hac4vs-dummyInput" value=""/></div><style data-emotion="css 1wy0on6">.css-1wy0on6{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;box-sizing:border-box;}</style><div class=" css-1wy0on6"><style data-emotion="css 1uei4ir-indicatorSeparator">.css-1uei4ir-indicatorSeparator{-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;width:1px;background-color:hsl(0, 0%, 80%);margin-bottom:8px;margin-top:8px;box-sizing:border-box;display:none;}</style><span class=" css-1uei4ir-indicatorSeparator"></span><style data-emotion="css 1xc3v61-indicatorContainer">.css-1xc3v61-indicatorContainer{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transition:color 150ms;transition:color 150ms;color:hsl(0, 0%, 80%);padding:8px;box-sizing:border-box;}.css-1xc3v61-indicatorContainer:hover{color:hsl(0, 0%, 60%);}</style><div class=" css-1xc3v61-indicatorContainer" aria-hidden="true"><style data-emotion="css 8mmkcg">.css-8mmkcg{display:inline-block;fill:currentColor;line-height:1;stroke:currentColor;stroke-width:0;}</style><svg height="20" width="20" viewBox="0 0 20 20" aria-hidden="true" focusable="false" class="css-8mmkcg"><path d="M4.516 7.548c0.436-0.446 1.043-0.481 1.576 0l3.908 3.747 3.908-3.747c0.533-0.481 1.141-0.446 1.574 0 0.436 0.445 0.408 1.197 0 1.615-0.406 0.418-4.695 4.502-4.695 4.502-0.217 0.223-0.502 0.335-0.787 0.335s-0.57-0.112-0.789-0.335c0 0-4.287-4.084-4.695-4.502s-0.436-1.17 0-1.615z"></path></svg></div></div></div></div></div></div></div><div class="sc-ace17a57-0 hrNfIL"><span display="none" font-size="textLg" font-weight="medium" class="sc-b323b31-0 hIsFvR">Alphabetical</span><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 eThfML">Alphabetical</span><div class="sc-ace17a57-0 juchfq"><div width="100%" class="sc-ace17a57-0 bjeAPm"><label id="aria-label-" font-weight="medium" class="sc-b323b31-0 jOcNrR"></label><style data-emotion="css 1l7hvq4-container">.css-1l7hvq4-container{position:relative;box-sizing:border-box;min-width:100%;max-width:100%;opacity:1;}</style><div class=" css-1l7hvq4-container"><style data-emotion="css 7pg0cj-a11yText">.css-7pg0cj-a11yText{z-index:9999;border:0;clip:rect(1px, 1px, 1px, 1px);height:1px;width:1px;position:absolute;overflow:hidden;padding:0;white-space:nowrap;}</style><span id="react-select-3-live-region" class="css-7pg0cj-a11yText"></span><span aria-live="polite" aria-atomic="false" aria-relevant="additions text" role="log" class="css-7pg0cj-a11yText"></span><style data-emotion="css 2vgbxd-control">.css-2vgbxd-control{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;cursor:default;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;min-height:44px;outline:0!important;position:relative;-webkit-transition:all 100ms;transition:all 100ms;background-color:#101014;border-color:#4E4E52;border-radius:8px;border-style:solid;border-width:1px;box-shadow:0px 1px 2px rgba(38, 44, 52, 0.05);box-sizing:border-box;font-size:1rem;line-height:1.5rem;color:#101014;}.css-2vgbxd-control:hover{border-color:#CECED2;}</style><div class=" css-2vgbxd-control"><style data-emotion="css hlgwow">.css-hlgwow{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:grid;-webkit-flex:1;-ms-flex:1;flex:1;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-overflow-scrolling:touch;position:relative;overflow:hidden;padding:2px 8px;box-sizing:border-box;}</style><div class=" css-hlgwow"><style data-emotion="css 1c5acm8-placeholder">.css-1c5acm8-placeholder{grid-area:1/1/2/3;color:#E1E1E5;margin-left:2px;margin-right:2px;box-sizing:border-box;}</style><div class=" css-1c5acm8-placeholder" id="react-select-3-placeholder">Alphabetical</div><style data-emotion="css 1hac4vs-dummyInput">.css-1hac4vs-dummyInput{background:0;border:0;caret-color:transparent;font-size:inherit;grid-area:1/1/2/3;outline:0;padding:0;width:1px;color:transparent;left:-100px;opacity:0;position:relative;-webkit-transform:scale(.01);-moz-transform:scale(.01);-ms-transform:scale(.01);transform:scale(.01);}</style><input id="react-select-3-input" tabindex="0" inputMode="none" aria-autocomplete="list" aria-expanded="false" aria-haspopup="true" aria-label="Dropdown" aria-labelledby="aria-label-" role="combobox" aria-activedescendant="" aria-readonly="true" aria-describedby="react-select-3-placeholder" class="css-1hac4vs-dummyInput" value=""/></div><style data-emotion="css 1wy0on6">.css-1wy0on6{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;box-sizing:border-box;}</style><div class=" css-1wy0on6"><style data-emotion="css 1uei4ir-indicatorSeparator">.css-1uei4ir-indicatorSeparator{-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;width:1px;background-color:hsl(0, 0%, 80%);margin-bottom:8px;margin-top:8px;box-sizing:border-box;display:none;}</style><span class=" css-1uei4ir-indicatorSeparator"></span><style data-emotion="css 1xc3v61-indicatorContainer">.css-1xc3v61-indicatorContainer{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-transition:color 150ms;transition:color 150ms;color:hsl(0, 0%, 80%);padding:8px;box-sizing:border-box;}.css-1xc3v61-indicatorContainer:hover{color:hsl(0, 0%, 60%);}</style><div class=" css-1xc3v61-indicatorContainer" aria-hidden="true"><style data-emotion="css 8mmkcg">.css-8mmkcg{display:inline-block;fill:currentColor;line-height:1;stroke:currentColor;stroke-width:0;}</style><svg height="20" width="20" viewBox="0 0 20 20" aria-hidden="true" focusable="false" class="css-8mmkcg"><path d="M4.516 7.548c0.436-0.446 1.043-0.481 1.576 0l3.908 3.747 3.908-3.747c0.533-0.481 1.141-0.446 1.574 0 0.436 0.445 0.408 1.197 0 1.615-0.406 0.418-4.695 4.502-4.695 4.502-0.217 0.223-0.502 0.335-0.787 0.335s-0.57-0.112-0.789-0.335c0 0-4.287-4.084-4.695-4.502s-0.436-1.17 0-1.615z"></path></svg></div></div></div></div></div></div><nav display="none" class="sc-ace17a57-0 eblIrO"><li data-letter="A" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">A</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-assistants" class="sc-e69ac761-0 dsCZKx">AI Assistants</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-voice-agents" class="sc-e69ac761-0 dsCZKx">AI Voice Agents</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/activation-functions" class="sc-e69ac761-0 dsCZKx">Activation Functions</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-agents" class="sc-e69ac761-0 dsCZKx">AI Agents</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-education" class="sc-e69ac761-0 dsCZKx">AI and Education</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-medicine" class="sc-e69ac761-0 dsCZKx">AI and Medicine</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-voice-transfer" class="sc-e69ac761-0 dsCZKx">AI Voice Transfer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/approximate-dynamic-programming" class="sc-e69ac761-0 dsCZKx">Approximate Dynamic Programming</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/adversarial-machine-learning" class="sc-e69ac761-0 dsCZKx">Adversarial Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/alphago-zero" class="sc-e69ac761-0 dsCZKx">AlphaGo Zero</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-hardware" class="sc-e69ac761-0 dsCZKx">AI Hardware</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-finance" class="sc-e69ac761-0 dsCZKx">AI and Finance</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/alphago" class="sc-e69ac761-0 dsCZKx">AlphaGo</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-recommendation-algorithms" class="sc-e69ac761-0 dsCZKx">AI Recommendation Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-generated-music" class="sc-e69ac761-0 dsCZKx">AI Generated Music</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-video-generation" class="sc-e69ac761-0 dsCZKx">AI Video Generation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-in-customer-service" class="sc-e69ac761-0 dsCZKx">AI in Customer Service</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-lifecycle-management" class="sc-e69ac761-0 dsCZKx">AI Lifecycle Management</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-literacy" class="sc-e69ac761-0 dsCZKx">AI Literacy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-monitoring" class="sc-e69ac761-0 dsCZKx">AI Monitoring</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-oversight" class="sc-e69ac761-0 dsCZKx">AI Oversight</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-privacy" class="sc-e69ac761-0 dsCZKx">AI Privacy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-prototyping" class="sc-e69ac761-0 dsCZKx">AI Prototyping</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-regulation" class="sc-e69ac761-0 dsCZKx">AI Regulation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-resilience" class="sc-e69ac761-0 dsCZKx">AI Resilience</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-interpretability" class="sc-e69ac761-0 dsCZKx">AI Interpretability</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/attention-mechanisms" class="sc-e69ac761-0 dsCZKx">Attention Mechanisms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/affective-ai" class="sc-e69ac761-0 dsCZKx">Affective AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-ethics" class="sc-e69ac761-0 dsCZKx">AI Ethics</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-alignment" class="sc-e69ac761-0 dsCZKx">AI Alignment</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-hallucinations" class="sc-e69ac761-0 dsCZKx">AI Hallucinations</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ablation" class="sc-e69ac761-0 dsCZKx">Ablation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/active-learning" class="sc-e69ac761-0 dsCZKx">Active Learning (Machine Learning)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-and-big-data" class="sc-e69ac761-0 dsCZKx">AI and Big Data</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/adagrad" class="sc-e69ac761-0 dsCZKx">AdaGrad</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/acoustic-models" class="sc-e69ac761-0 dsCZKx">Acoustic Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/articulatory-synthesis" class="sc-e69ac761-0 dsCZKx">Articulatory Synthesis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/autoregressive-model" class="sc-e69ac761-0 dsCZKx">Autoregressive Model</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-emotion-recognition" class="sc-e69ac761-0 dsCZKx">AI Emotion Recognition</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-speech-enhancement" class="sc-e69ac761-0 dsCZKx">AI Speech Enhancement</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/artificial-super-intelligence" class="sc-e69ac761-0 dsCZKx">Artificial Super Intelligence</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-guardrails" class="sc-e69ac761-0 dsCZKx">AI Guardrails</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/auto-classification" class="sc-e69ac761-0 dsCZKx">Auto Classification</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/association-rule-learning" class="sc-e69ac761-0 dsCZKx">Association Rule Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/autoencoder" class="sc-e69ac761-0 dsCZKx">Autoencoder</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/accuracy" class="sc-e69ac761-0 dsCZKx">Accuracy in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-detection" class="sc-e69ac761-0 dsCZKx">AI Detection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-robustness" class="sc-e69ac761-0 dsCZKx">AI Robustness</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-safety" class="sc-e69ac761-0 dsCZKx">AI Safety</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-scalability" class="sc-e69ac761-0 dsCZKx">AI Scalability</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-simulation" class="sc-e69ac761-0 dsCZKx">AI Simulation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-standards" class="sc-e69ac761-0 dsCZKx">AI Standards</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-steering" class="sc-e69ac761-0 dsCZKx">AI Steering</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ai-transparency" class="sc-e69ac761-0 dsCZKx">AI Transparency</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/augmented-intelligence" class="sc-e69ac761-0 dsCZKx">Augmented Intelligence</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/applications" class="sc-e69ac761-0 dsCZKx">Applications</a></li><li data-letter="B" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">B</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/benchmarking" class="sc-e69ac761-0 dsCZKx">Benchmarking</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/batch-gradient-descent" class="sc-e69ac761-0 dsCZKx">Batch Gradient Descent</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/backpropagation" class="sc-e69ac761-0 dsCZKx">Backpropagation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/bayesian-machine-learning" class="sc-e69ac761-0 dsCZKx">Bayesian Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/bert" class="sc-e69ac761-0 dsCZKx">BERT</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/binary-classification-ai" class="sc-e69ac761-0 dsCZKx">Binary Classification AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/beam-search-algorithm" class="sc-e69ac761-0 dsCZKx">Beam Search Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/bias-variance-tradeoff" class="sc-e69ac761-0 dsCZKx">Bias-Variance Tradeoff</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/boosting" class="sc-e69ac761-0 dsCZKx">Boosting in Machine Learning</a></li><li data-letter="C" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">C</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/chess-bots" class="sc-e69ac761-0 dsCZKx">Chess bots</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/chatgpt" class="sc-e69ac761-0 dsCZKx">ChatGPT</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cure-algorithm" class="sc-e69ac761-0 dsCZKx">CURE Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/curse-of-dimensionality" class="sc-e69ac761-0 dsCZKx">Curse of Dimensionality</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/classification" class="sc-e69ac761-0 dsCZKx">Classification</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cognitive-map" class="sc-e69ac761-0 dsCZKx">Cognitive Map</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/central-processing-unit-cpu" class="sc-e69ac761-0 dsCZKx">Central Processing Unit (CPU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/conditional-variational-autoencoders" class="sc-e69ac761-0 dsCZKx">Conditional Variational Autoencoders</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/conversational-ai" class="sc-e69ac761-0 dsCZKx">Conversational AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/causal-inference" class="sc-e69ac761-0 dsCZKx">Causal Inference</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/capsule-neural-network" class="sc-e69ac761-0 dsCZKx">Capsule Neural Network</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/contrastive-learning" class="sc-e69ac761-0 dsCZKx">Contrastive Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/convolutional-neural-networks" class="sc-e69ac761-0 dsCZKx">Convolutional Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cognitive-computing" class="sc-e69ac761-0 dsCZKx">Cognitive Computing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/common-crawl-datasets" class="sc-e69ac761-0 dsCZKx">Common Crawl Datasets</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/clustering-algorithms" class="sc-e69ac761-0 dsCZKx">Clustering Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/concatenative-synthesis" class="sc-e69ac761-0 dsCZKx">Concatenative Synthesis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/candidate-sampling" class="sc-e69ac761-0 dsCZKx">Candidate Sampling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-creativity" class="sc-e69ac761-0 dsCZKx">Computational Creativity</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/context-aware-computing" class="sc-e69ac761-0 dsCZKx">Context-Aware Computing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/counterfactual-explanations-in-ai" class="sc-e69ac761-0 dsCZKx">Counterfactual Explanations in AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cognitive-architectures" class="sc-e69ac761-0 dsCZKx">Cognitive Architectures</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-phenotyping" class="sc-e69ac761-0 dsCZKx">Computational Phenotyping</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/continuous-learning-systems" class="sc-e69ac761-0 dsCZKx">Continuous Learning Systems</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/chatbots" class="sc-e69ac761-0 dsCZKx">Chatbots</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/composite-ai" class="sc-e69ac761-0 dsCZKx">Composite AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-lingustics" class="sc-e69ac761-0 dsCZKx">Computational Linguistics</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/computational-semantics" class="sc-e69ac761-0 dsCZKx">Computational Semantics</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/collaborative-filtering" class="sc-e69ac761-0 dsCZKx">Collaborative Filtering</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/corpus" class="sc-e69ac761-0 dsCZKx">Corpus in NLP</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/confirmation-bias" class="sc-e69ac761-0 dsCZKx">Confirmation Bias in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/confidence-intervals" class="sc-e69ac761-0 dsCZKx">Confidence Intervals in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/cross-validation" class="sc-e69ac761-0 dsCZKx">Cross Validation in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/clustering" class="sc-e69ac761-0 dsCZKx">Clustering in Machine Learning</a></li><li data-letter="D" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">D</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/dall-e" class="sc-e69ac761-0 dsCZKx">Dall-E</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/distilbert" class="sc-e69ac761-0 dsCZKx">DistilBERT</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/dimensionality-reduction" class="sc-e69ac761-0 dsCZKx">Dimensionality Reduction</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/deep-reinforcement-learning" class="sc-e69ac761-0 dsCZKx">Deep Reinforcement Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/diffusion-model" class="sc-e69ac761-0 dsCZKx">Diffusion Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/deep-learning" class="sc-e69ac761-0 dsCZKx">Deep Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/datasets" class="sc-e69ac761-0 dsCZKx">Datasets</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-labeling" class="sc-e69ac761-0 dsCZKx">Data Labeling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/differential-privacy" class="sc-e69ac761-0 dsCZKx">Differential Privacy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-poisoning" class="sc-e69ac761-0 dsCZKx">Data Poisoning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/domain-adaptation" class="sc-e69ac761-0 dsCZKx">Domain Adaptation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-augmentation" class="sc-e69ac761-0 dsCZKx">Data Augmentation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/double-descent" class="sc-e69ac761-0 dsCZKx">Double Descent</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/deepfake-detection" class="sc-e69ac761-0 dsCZKx">Deepfake Detection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/diffusion" class="sc-e69ac761-0 dsCZKx">Diffusion</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-drift" class="sc-e69ac761-0 dsCZKx">Data Drift</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/data-scarcity" class="sc-e69ac761-0 dsCZKx">Data Scarcity</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/decision-tree" class="sc-e69ac761-0 dsCZKx">Decision Tree</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/decision-intelligence" class="sc-e69ac761-0 dsCZKx">Decision Intelligence</a></li><li data-letter="E" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">E</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/expectation-maximization" class="sc-e69ac761-0 dsCZKx">Expectation Maximization</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/embedding-layer" class="sc-e69ac761-0 dsCZKx">Embedding Layer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/evolutionary-algorithms" class="sc-e69ac761-0 dsCZKx">Evolutionary Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/explainable-ai" class="sc-e69ac761-0 dsCZKx">Explainable AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/end-to-end-learning" class="sc-e69ac761-0 dsCZKx">End-to-end Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/emergent-behavior" class="sc-e69ac761-0 dsCZKx">Emergent Behavior</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ego-4d" class="sc-e69ac761-0 dsCZKx">Ego 4D</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/eco-friendly-ai" class="sc-e69ac761-0 dsCZKx">Eco-friendly AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ensemble-learning" class="sc-e69ac761-0 dsCZKx">Ensemble Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/entropy" class="sc-e69ac761-0 dsCZKx">Entropy in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/epoch" class="sc-e69ac761-0 dsCZKx">Epoch in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ethical-ai" class="sc-e69ac761-0 dsCZKx">Ethical AI</a></li><li data-letter="F" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">F</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/flajolet-martin-algorithm" class="sc-e69ac761-0 dsCZKx">Flajolet-Martin Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feedforward-neural-network" class="sc-e69ac761-0 dsCZKx">Feedforward Neural Network</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/fine-tuning-deep-learning" class="sc-e69ac761-0 dsCZKx">Fine Tuning in Deep Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/fundamentals" class="sc-e69ac761-0 dsCZKx">Fundamentals</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/f1-score-machine-learning" class="sc-e69ac761-0 dsCZKx">F1 Score in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/foundation-models" class="sc-e69ac761-0 dsCZKx">Foundation Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/forward-propagation" class="sc-e69ac761-0 dsCZKx">Forward Propagation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/f2-score" class="sc-e69ac761-0 dsCZKx">F2 Score</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feature-store-for-machine-learning" class="sc-e69ac761-0 dsCZKx">Feature Store for Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/few-shot-learning" class="sc-e69ac761-0 dsCZKx">Few Shot Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/federated-learning" class="sc-e69ac761-0 dsCZKx">Federated Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feature-learning" class="sc-e69ac761-0 dsCZKx">Feature Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/feature-selection" class="sc-e69ac761-0 dsCZKx">Feature Selection</a></li><li data-letter="G" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">G</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gradient-clipping" class="sc-e69ac761-0 dsCZKx">Gradient Clipping</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/generative-adversarial-networks" class="sc-e69ac761-0 dsCZKx">Generative Adversarial Networks (GANs)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gaussian-processes" class="sc-e69ac761-0 dsCZKx">Gaussian Processes</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gated-recurrent-unit" class="sc-e69ac761-0 dsCZKx">Gated Recurrent Unit</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/grounding" class="sc-e69ac761-0 dsCZKx">Grounding</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gradient-boosting-machines" class="sc-e69ac761-0 dsCZKx">Gradient Boosting Machines (GBMs)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/graphics-processing-unit-gpu" class="sc-e69ac761-0 dsCZKx">Graphics Processing Unit (GPU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/google-bard" class="sc-e69ac761-0 dsCZKx">Google's Bard</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/gradient-scaling" class="sc-e69ac761-0 dsCZKx">Gradient Scaling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/generative-ai" class="sc-e69ac761-0 dsCZKx">Generative AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/graph-neural-networks" class="sc-e69ac761-0 dsCZKx">Graph Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/grapheme-to-phoneme-conversion-g2p" class="sc-e69ac761-0 dsCZKx">Grapheme-to-Phoneme Conversion (G2P)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/generative-teaching-networks" class="sc-e69ac761-0 dsCZKx">Generative Teaching Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/genetic-algorithms" class="sc-e69ac761-0 dsCZKx">Genetic Algorithms in AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/ground-truth" class="sc-e69ac761-0 dsCZKx">Ground Truth in Machine Learning</a></li><li data-letter="H" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">H</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hyperparameters" class="sc-e69ac761-0 dsCZKx">Hyperparameters</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hidden-markov-models" class="sc-e69ac761-0 dsCZKx">Hidden Markov Models (HMMs)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hooke-jeeves-algorithm" class="sc-e69ac761-0 dsCZKx">Hooke-Jeeves Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hyperparameter-tuning" class="sc-e69ac761-0 dsCZKx">Hyperparameter Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/homograph-disambiguation" class="sc-e69ac761-0 dsCZKx">Homograph Disambiguation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/human-centered-ai" class="sc-e69ac761-0 dsCZKx">Human-centered AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hidden-layer" class="sc-e69ac761-0 dsCZKx">Hidden Layer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/human-in-the-loop-ai" class="sc-e69ac761-0 dsCZKx">Human-in-the-Loop AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/hybrid-ai" class="sc-e69ac761-0 dsCZKx">Hybrid AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/human-augmentation-with-ai" class="sc-e69ac761-0 dsCZKx">Human Augmentation with AI</a></li><li data-letter="I" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">I</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/inference-engine" class="sc-e69ac761-0 dsCZKx">Inference Engine</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/intelligent-document-processing" class="sc-e69ac761-0 dsCZKx">Intelligent Document Processing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/imbalanced-data" class="sc-e69ac761-0 dsCZKx">Imbalanced Data</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/instruction-tuning" class="sc-e69ac761-0 dsCZKx">Instruction Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/incremental-learning" class="sc-e69ac761-0 dsCZKx">Incremental Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/information-retrieval" class="sc-e69ac761-0 dsCZKx">Information Retrieval</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/image-recognition" class="sc-e69ac761-0 dsCZKx">Image Recognition</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/imagenet" class="sc-e69ac761-0 dsCZKx">ImageNet</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/inductive-bias" class="sc-e69ac761-0 dsCZKx">Inductive Bias</a></li><li data-letter="K" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">K</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/k-shingles" class="sc-e69ac761-0 dsCZKx">k-Shingles</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/keyphrase-extraction" class="sc-e69ac761-0 dsCZKx">Keyphrase Extraction</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/keras" class="sc-e69ac761-0 dsCZKx">Keras</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/knowledge-distillation" class="sc-e69ac761-0 dsCZKx">Knowledge Distillation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/knowledge-representation-and-reasoning" class="sc-e69ac761-0 dsCZKx">Knowledge Representation and Reasoning</a></li><li data-letter="L" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">L</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/llama-2" class="sc-e69ac761-0 dsCZKx">Llama 2</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/llm-collection" class="sc-e69ac761-0 dsCZKx">LLM Collection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/latent-dirichlet-allocation" class="sc-e69ac761-0 dsCZKx">Latent Dirichlet Allocation (LDA)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/large-language-model" class="sc-e69ac761-0 dsCZKx">Large Language Model (LLM)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/loss-function" class="sc-e69ac761-0 dsCZKx">Loss Function</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/limited-memory-ai" class="sc-e69ac761-0 dsCZKx">Limited Memory AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/learning-rate" class="sc-e69ac761-0 dsCZKx">Learning Rate</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/learning-to-rank" class="sc-e69ac761-0 dsCZKx">Learning To Rank</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/logits" class="sc-e69ac761-0 dsCZKx">Logits</a></li><li data-letter="M" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">M</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/midjourney-image-generation" class="sc-e69ac761-0 dsCZKx">Midjourney (Image Generation)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mistral" class="sc-e69ac761-0 dsCZKx">Mistral</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mixture-of-experts" class="sc-e69ac761-0 dsCZKx">Mixture of Experts</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multimodal-ai" class="sc-e69ac761-0 dsCZKx">Multimodal AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multimodal-learning" class="sc-e69ac761-0 dsCZKx">Multimodal Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning" class="sc-e69ac761-0 dsCZKx">Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multimodal-aI-models-and-modalities" class="sc-e69ac761-0 dsCZKx">Multimodal AI Models and Modalities</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mamba" class="sc-e69ac761-0 dsCZKx">Mamba</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/models" class="sc-e69ac761-0 dsCZKx">Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-bias" class="sc-e69ac761-0 dsCZKx">Machine Learning Bias</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-life-cycle-management" class="sc-e69ac761-0 dsCZKx">Machine Learning Life Cycle Management</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-translation" class="sc-e69ac761-0 dsCZKx">Machine Translation</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/mlops" class="sc-e69ac761-0 dsCZKx">MLOps</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/monte-carlo-learning" class="sc-e69ac761-0 dsCZKx">Monte Carlo Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multi-task-learning" class="sc-e69ac761-0 dsCZKx">Multi-task Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-neuron" class="sc-e69ac761-0 dsCZKx">Machine Learning Neuron</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-preprocessing" class="sc-e69ac761-0 dsCZKx">Machine Learning Preprocessing</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/model-drift" class="sc-e69ac761-0 dsCZKx">Model Drift</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/matplotlib" class="sc-e69ac761-0 dsCZKx">Matplotlib</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/Markov-decision-process" class="sc-e69ac761-0 dsCZKx">Markov Decision Process</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/model-interpretability" class="sc-e69ac761-0 dsCZKx">Model Interpretability</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/machine-learning-algorithmic-trading" class="sc-e69ac761-0 dsCZKx">Machine Learning in Algorithmic Trading</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/metacognitive-learning-models" class="sc-e69ac761-0 dsCZKx">Metacognitive Learning Models </a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/metaheuristic-algorithms" class="sc-e69ac761-0 dsCZKx">Metaheuristic Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multitask-prompt-tuning" class="sc-e69ac761-0 dsCZKx">Multitask Prompt Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/multi-agent-systems" class="sc-e69ac761-0 dsCZKx">Multi-Agent Systems</a></li><li data-letter="N" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">N</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-processing" class="sc-e69ac761-0 dsCZKx">Natural Language Processing (NLP)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-generation" class="sc-e69ac761-0 dsCZKx">Natural Language Generation (NLG)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-understanding" class="sc-e69ac761-0 dsCZKx">Natural Language Understanding (NLU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neuralink" class="sc-e69ac761-0 dsCZKx">Neuralink</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/naive-bayes-classifier" class="sc-e69ac761-0 dsCZKx">Naive Bayes Classifier</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-radiance-fields" class="sc-e69ac761-0 dsCZKx">Neural Radiance Fields</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-querying" class="sc-e69ac761-0 dsCZKx">Natural Language Querying (NLQ)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/numpy" class="sc-e69ac761-0 dsCZKx">NumPy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/natural-language-toolkit-nltk" class="sc-e69ac761-0 dsCZKx">Natural Language Toolkit (NLTK)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-architecture-search" class="sc-e69ac761-0 dsCZKx">Neural Architecture Search</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-text-to-speech-ntts" class="sc-e69ac761-0 dsCZKx">Neural Text-to-Speech (NTTS)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/named-entity-recognition" class="sc-e69ac761-0 dsCZKx">Named Entity Recognition</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neural-style-transfer" class="sc-e69ac761-0 dsCZKx">Neural Style Transfer</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/neuroevolution" class="sc-e69ac761-0 dsCZKx">Neuroevolution</a></li><li data-letter="O" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">O</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/online-gradient-descent" class="sc-e69ac761-0 dsCZKx">Online Gradient Descent</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/overfitting-underfitting" class="sc-e69ac761-0 dsCZKx">Overfitting and Underfitting</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/openai-whisper" class="sc-e69ac761-0 dsCZKx">OpenAI Whisper</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/openai-sora" class="sc-e69ac761-0 dsCZKx">OpenAI Sora</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/out-of-distribution-detection" class="sc-e69ac761-0 dsCZKx">Out-of-Distribution Detection</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/one-shot-learning" class="sc-e69ac761-0 dsCZKx">One-Shot Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/objective-function" class="sc-e69ac761-0 dsCZKx">Objective Function</a></li><li data-letter="P" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">P</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/prompt-engineering" class="sc-e69ac761-0 dsCZKx">Prompt Engineering</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/prompt-chaining" class="sc-e69ac761-0 dsCZKx">Prompt Chaining</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/perceptron" class="sc-e69ac761-0 dsCZKx">Perceptron</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/precision-and-recall" class="sc-e69ac761-0 dsCZKx">Precision and Recall</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/packages-glossary" class="sc-e69ac761-0 dsCZKx">Packages</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pooling-machine-learning" class="sc-e69ac761-0 dsCZKx">Pooling (Machine Learning)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/principal-component-analysis" class="sc-e69ac761-0 dsCZKx">Principal Component Analysis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/probabilistic-models-in-machine-learning" class="sc-e69ac761-0 dsCZKx">Probabilistic Models in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/prompt-tuning" class="sc-e69ac761-0 dsCZKx">Prompt Tuning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pytorch" class="sc-e69ac761-0 dsCZKx">PyTorch</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pandas" class="sc-e69ac761-0 dsCZKx">Pandas</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/parametric-neural-networks%C2%A0" class="sc-e69ac761-0 dsCZKx">Parametric Neural Networks </a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/pretraining" class="sc-e69ac761-0 dsCZKx">Pretraining</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/part-of-speech-tagging" class="sc-e69ac761-0 dsCZKx">Part-of-Speech Tagging</a></li><li data-letter="Q" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">Q</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/quantum-machine-learning-algorithms" class="sc-e69ac761-0 dsCZKx">Quantum Machine Learning Algorithms</a></li><li data-letter="R" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 fvIpti">R</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/rule-based-ai" class="sc-e69ac761-0 dsCZKx">Rule-Based AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/roberta" class="sc-e69ac761-0 dsCZKx">RoBERTa</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/rlhf" class="sc-e69ac761-0 dsCZKx">RLHF</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/retrieval-augmented-generation" class="sc-e69ac761-0 dsCZKx">Retrieval-Augmented Generation (RAG)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/representation-learning" class="sc-e69ac761-0 dsCZKx">Representation Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/rectified-linear-unit-relu" class="sc-e69ac761-0 ezFGlW">Rectified Linear Unit (ReLU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/reproducibility-machine-learning" class="sc-e69ac761-0 dsCZKx">Reproducibility in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/restricted-boltzmann-machines" class="sc-e69ac761-0 dsCZKx">Restricted Boltzmann Machines</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/regularization" class="sc-e69ac761-0 dsCZKx">Regularization</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/recurrent-neural-networks" class="sc-e69ac761-0 dsCZKx">Recurrent Neural Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/random-forest" class="sc-e69ac761-0 dsCZKx">Random Forest</a></li><li data-letter="S" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">S</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/sentiment-analysis" class="sc-e69ac761-0 dsCZKx">Sentiment Analysis</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/speech-to-text-models" class="sc-e69ac761-0 dsCZKx">Speech-to-text models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/sequence-modeling" class="sc-e69ac761-0 dsCZKx">Sequence Modeling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semantic-kernel" class="sc-e69ac761-0 dsCZKx">Semantic Kernel</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semi-supervised-learning" class="sc-e69ac761-0 dsCZKx">Semi-Supervised Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/supervised-learning" class="sc-e69ac761-0 dsCZKx">Supervised Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/support-vector-machines-svm" class="sc-e69ac761-0 dsCZKx">Support Vector Machines (SVM)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semantic-networks" class="sc-e69ac761-0 dsCZKx">Semantic Networks</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semi-structured-data" class="sc-e69ac761-0 dsCZKx">Semi-structured data</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/scikit-learn" class="sc-e69ac761-0 dsCZKx">Scikit-learn</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/scipy" class="sc-e69ac761-0 dsCZKx">SciPy</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/seaborn-python-package" class="sc-e69ac761-0 dsCZKx">Seaborn Python Package</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/squad" class="sc-e69ac761-0 dsCZKx">SQuAD</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/synthetic-data-for-ai-training" class="sc-e69ac761-0 dsCZKx">Synthetic Data for AI Training</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/statistical-relational-learning" class="sc-e69ac761-0 dsCZKx">Statistical Relational Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/self-healing-ai" class="sc-e69ac761-0 dsCZKx">Self-healing AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/semantic-search-algorithms" class="sc-e69ac761-0 dsCZKx">Semantic Search Algorithms</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/symbolic-ai" class="sc-e69ac761-0 dsCZKx">Symbolic AI</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/spike-neural-networks" class="sc-e69ac761-0 dsCZKx">Spike Neural Networks</a></li><li data-letter="T" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">T</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/text-to-speech-models" class="sc-e69ac761-0 dsCZKx">Text-to-Speech Models</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/transformers" class="sc-e69ac761-0 dsCZKx">Transformers</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/tensor-processing-unit-tpu" class="sc-e69ac761-0 dsCZKx">Tensor Processing Unit (TPU)</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/tokenization" class="sc-e69ac761-0 dsCZKx">Tokenization</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/techniques" class="sc-e69ac761-0 dsCZKx">Techniques</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/topic-modeling" class="sc-e69ac761-0 dsCZKx">Topic Modeling</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/transfer-learning" class="sc-e69ac761-0 dsCZKx">Transfer Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/tensorflow" class="sc-e69ac761-0 dsCZKx">TensorFlow</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/the-pile" class="sc-e69ac761-0 dsCZKx">The Pile</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/test-data-set" class="sc-e69ac761-0 dsCZKx">Test Data Set</a></li><li data-letter="U" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">U</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/uncertainty-machine-learning" class="sc-e69ac761-0 dsCZKx">Uncertainty in Machine Learning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/unsupervised-learning" class="sc-e69ac761-0 dsCZKx">Unsupervised Learning</a></li><li data-letter="V" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">V</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/vanishing-and-exploding-gradients" class="sc-e69ac761-0 dsCZKx">Vanishing and Exploding Gradients</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/voice-cloning" class="sc-e69ac761-0 dsCZKx">Voice Cloning</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/validation-data-set" class="sc-e69ac761-0 dsCZKx">Validation Data Set</a></li><li data-letter="W" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">W</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/winnow-algorithm" class="sc-e69ac761-0 dsCZKx">Winnow Algorithm</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/word-embeddings" class="sc-e69ac761-0 dsCZKx">Word Embeddings</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/whisper-v3" class="sc-e69ac761-0 dsCZKx">Whisper v3</a><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/whisper-v2" class="sc-e69ac761-0 dsCZKx">Whisper v2</a></li><li data-letter="X" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">X</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/xlnet" class="sc-e69ac761-0 dsCZKx">XLNet</a></li><li data-letter="Z" class="sc-ace17a57-0 eTCxuy"><div width="100%" class="sc-6293d692-0 jWSoNY"><span font-size="textLg" font-weight="medium" class="sc-b323b31-0 jgUCVJ">Z</span></div><a rel="" target="" font-size="textLg" font-weight="medium" href="/ai-glossary/zero-shot-classification-models" class="sc-e69ac761-0 dsCZKx">Zero-shot Classification Models</a></li></nav></div></div></div></div></div></div></div></div></section><section id="blog-conversion-panel-section" width="100%" class="sc-ace17a57-0 sc-b22001da-2 gAaKYn dJJSTR"><div width="100%" class="sc-6293d692-0 hzUpmg"></div></section><footer class="sc-6293d692-0 jUEsCq"><div class="sc-6293d692-0 jBxPcy"><div class="sc-ace17a57-0 kUNxIf"><div width="100%" class="sc-ace17a57-0 kptHGM"><div class="sc-ace17a57-0 djSuqG"><div class="sc-ace17a57-0 sc-acb32398-0 fJkbQy iBHmhe"><div class="sc-ace17a57-0 sc-5f7d928-0 iPwPdJ kritbo image-wrapper" width="100%" height="fit-content"><img alt="Deepgram Logo" loading="lazy" width="172" height="33" decoding="async" data-nimg="1" style="color:transparent;object-fit:cover" src="https://www.datocms-assets.com/96965/1725550993-deepgram-logo.svg"/></div></div><span font-size="textSm" font-weight="regular" font-family="bodyFont" class="sc-b323b31-0 esKgrX">Essential Building Blocks for Voice AI</span><div class="sc-ace17a57-0 fjoWTd"><a href="https://github.com/deepgram" rel="noopener noreferrer" target="_blank" aria-label="GitHub" class="sc-e69ac761-0 bkHGsI sc-acb32398-2 hdVSqo"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 496 512" class="socialIcons" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg></a><a href="https://x.com/deepgramai?prefetchTimestamp=1733536274368" rel="noopener noreferrer" target="_blank" aria-label="X (Twitter)" class="sc-e69ac761-0 bkHGsI sc-acb32398-2 hdVSqo"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 512 512" class="socialIcons" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z"></path></svg></a><a href="https://www.linkedin.com/company/deepgram/" rel="noopener noreferrer" target="_blank" aria-label="LinkedIn" class="sc-e69ac761-0 bkHGsI sc-acb32398-2 hdVSqo"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 448 512" class="socialIcons" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z"></path></svg></a><a href="https://www.youtube.com/c/Deepgram" rel="noopener noreferrer" target="_blank" aria-label="YouTube" class="sc-e69ac761-0 bkHGsI sc-acb32398-2 hdVSqo"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 576 512" class="socialIcons" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M549.655 124.083c-6.281-23.65-24.787-42.276-48.284-48.597C458.781 64 288 64 288 64S117.22 64 74.629 75.486c-23.497 6.322-42.003 24.947-48.284 48.597-11.412 42.867-11.412 132.305-11.412 132.305s0 89.438 11.412 132.305c6.281 23.65 24.787 41.5 48.284 47.821C117.22 448 288 448 288 448s170.78 0 213.371-11.486c23.497-6.321 42.003-24.171 48.284-47.821 11.412-42.867 11.412-132.305 11.412-132.305s0-89.438-11.412-132.305zm-317.51 213.508V175.185l142.739 81.205-142.739 81.201z"></path></svg></a><a href="https://discord.com/invite/deepgram" rel="noopener noreferrer" target="_blank" aria-label="Discord" class="sc-e69ac761-0 bkHGsI sc-acb32398-2 hdVSqo"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 640 512" class="socialIcons" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M524.531,69.836a1.5,1.5,0,0,0-.764-.7A485.065,485.065,0,0,0,404.081,32.03a1.816,1.816,0,0,0-1.923.91,337.461,337.461,0,0,0-14.9,30.6,447.848,447.848,0,0,0-134.426,0,309.541,309.541,0,0,0-15.135-30.6,1.89,1.89,0,0,0-1.924-.91A483.689,483.689,0,0,0,116.085,69.137a1.712,1.712,0,0,0-.788.676C39.068,183.651,18.186,294.69,28.43,404.354a2.016,2.016,0,0,0,.765,1.375A487.666,487.666,0,0,0,176.02,479.918a1.9,1.9,0,0,0,2.063-.676A348.2,348.2,0,0,0,208.12,430.4a1.86,1.86,0,0,0-1.019-2.588,321.173,321.173,0,0,1-45.868-21.853,1.885,1.885,0,0,1-.185-3.126c3.082-2.309,6.166-4.711,9.109-7.137a1.819,1.819,0,0,1,1.9-.256c96.229,43.917,200.41,43.917,295.5,0a1.812,1.812,0,0,1,1.924.233c2.944,2.426,6.027,4.851,9.132,7.16a1.884,1.884,0,0,1-.162,3.126,301.407,301.407,0,0,1-45.89,21.83,1.875,1.875,0,0,0-1,2.611,391.055,391.055,0,0,0,30.014,48.815,1.864,1.864,0,0,0,2.063.7A486.048,486.048,0,0,0,610.7,405.729a1.882,1.882,0,0,0,.765-1.352C623.729,277.594,590.933,167.465,524.531,69.836ZM222.491,337.58c-28.972,0-52.844-26.587-52.844-59.239S193.056,219.1,222.491,219.1c29.665,0,53.306,26.82,52.843,59.239C275.334,310.993,251.924,337.58,222.491,337.58Zm195.38,0c-28.971,0-52.843-26.587-52.843-59.239S388.437,219.1,417.871,219.1c29.667,0,53.307,26.82,52.844,59.239C470.715,310.993,447.538,337.58,417.871,337.58Z"></path></svg></a><a href="https://www.facebook.com/deepgram/" rel="noopener noreferrer" target="_blank" aria-label="Facebook" class="sc-e69ac761-0 bkHGsI sc-acb32398-2 hdVSqo"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 512 512" class="socialIcons" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M504 256C504 119 393 8 256 8S8 119 8 256c0 123.78 90.69 226.38 209.25 245V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.31 482.38 504 379.78 504 256z"></path></svg></a></div></div><div class="sc-ace17a57-0 dPQBOW"><span font-size="textMd" font-weight="regular" color="#fff" class="sc-b323b31-0 fNHedI">Get news and product updates.</span><span font-family="bodyFont" class="sc-b323b31-0 sc-acb32398-3 csXpZL iLxlh">By submitting this form, you are agreeing to our <a rel="" target="" href="/privacy" class="sc-e69ac761-0 bkHGsI">Privacy Policy</a>.</span></div></div><div class="sc-662dedcb-0 fmBAXw"><div class="sc-ace17a57-0 hRljnq"><h6 font-family="bodyFont" font-size="textLg" font-weight="semiBold" class="sc-4555ca6a-0 fLfQKM">Product</h6><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/product/voice-agent-api" class="sc-e69ac761-0 bubdiz">Voice Agent API</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/product/text-to-speech" class="sc-e69ac761-0 bubdiz">Text-to-Speech API</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/product/speech-to-text" class="sc-e69ac761-0 bubdiz">Speech-to-Text API</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/product/audio-intelligence" class="sc-e69ac761-0 bubdiz">Audio Intelligence API</a></div><div class="sc-ace17a57-0 hRljnq"><h6 font-family="bodyFont" font-size="textLg" font-weight="semiBold" class="sc-4555ca6a-0 fLfQKM">Solutions</h6><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/solutions/contact-centers" class="sc-e69ac761-0 bubdiz">Contact Centers</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/solutions/speech-analytics" class="sc-e69ac761-0 bubdiz">Speech Analytics</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/deepgram-for-voicebots-and-chatbots" class="sc-e69ac761-0 bubdiz">Conversational AI</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/deepgram-for-podcast-transcription" class="sc-e69ac761-0 bubdiz">Podcast Transcription</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/solutions/medical-transcription" class="sc-e69ac761-0 bubdiz">Medical Transcription</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/startup-program" class="sc-e69ac761-0 bubdiz">Startup Program</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/affiliates" class="sc-e69ac761-0 bubdiz">Affiliate Program</a></div><div class="sc-ace17a57-0 hRljnq"><h6 font-family="bodyFont" font-size="textLg" font-weight="semiBold" class="sc-4555ca6a-0 fLfQKM">Developers</h6><a href="https://developers.deepgram.com/documentation/" rel="noreferrer noopener" target="_blank" font-family="bodyFont" font-size="textSm" text-decoration="none" class="sc-e69ac761-0 bubdiz">Documentation</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/changelog" class="sc-e69ac761-0 bubdiz">Changelog</a><a href="https://playground.deepgram.com/" rel="noreferrer noopener" target="_blank" font-family="bodyFont" font-size="textSm" text-decoration="none" class="sc-e69ac761-0 bubdiz">API Playground</a><a href="https://community.deepgram.com/" rel="noreferrer noopener" target="_blank" font-family="bodyFont" font-size="textSm" text-decoration="none" class="sc-e69ac761-0 bubdiz">Community</a><a href="https://developers.deepgram.com/docs/self-hosted-introduction" rel="noreferrer noopener" target="_blank" font-family="bodyFont" font-size="textSm" text-decoration="none" class="sc-e69ac761-0 bubdiz">Self-hosted</a><a href="https://developers.deepgram.com/support/" rel="noreferrer noopener" target="_blank" font-family="bodyFont" font-size="textSm" text-decoration="none" class="sc-e69ac761-0 bubdiz">Support</a></div><div class="sc-ace17a57-0 hRljnq"><h6 font-family="bodyFont" font-size="textLg" font-weight="semiBold" class="sc-4555ca6a-0 fLfQKM">Company</h6><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/about" class="sc-e69ac761-0 bubdiz">About</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/learn/article" class="sc-e69ac761-0 bubdiz">Blog</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/careers" class="sc-e69ac761-0 bubdiz">Careers</a><a href="https://www.aiminds.com/?ref=deepgram.com" rel="noreferrer noopener" target="_blank" font-family="bodyFont" font-size="textSm" text-decoration="none" class="sc-e69ac761-0 bubdiz">Newsletter</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/customers" class="sc-e69ac761-0 bubdiz">Customers</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/partners" class="sc-e69ac761-0 bubdiz">Partners</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/company/newsroom" class="sc-e69ac761-0 bubdiz">Newsroom</a></div><div class="sc-ace17a57-0 hRljnq"><h6 font-family="bodyFont" font-size="textLg" font-weight="semiBold" class="sc-4555ca6a-0 fLfQKM">Compare</h6><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/compare/openai-vs-deepgram-alternative" class="sc-e69ac761-0 bubdiz">OpenAI Whisper vs Deepgram</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/compare/amazon-vs-deepgram-alternative" class="sc-e69ac761-0 bubdiz">Amazon Transcribe vs Deepgram</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/compare/google-vs-deepgram-alternative" class="sc-e69ac761-0 bubdiz">Google vs Deepgram</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/compare/microsoft-vs-deepgram-alternative" class="sc-e69ac761-0 bubdiz">Microsoft Azure vs Deepgram</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/asr-comparison" class="sc-e69ac761-0 bubdiz">ASR Comparison Tool</a></div><div class="sc-ace17a57-0 hRljnq"><h6 font-family="bodyFont" font-size="textLg" font-weight="semiBold" class="sc-4555ca6a-0 fLfQKM">Resources</h6><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/ai-apps" class="sc-e69ac761-0 bubdiz">AI Apps</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/ai-glossary" class="sc-e69ac761-0 bubdiz">AI Glossary</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/ai-voice-generator" class="sc-e69ac761-0 bubdiz">AI Voice Generator Tool</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/free-transcription" class="sc-e69ac761-0 bubdiz">Audio & Video Transcription Tool</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/learn/introducing-ai-voice-agent-api" class="sc-e69ac761-0 bubdiz">Introducing Deepgram’s Voice Agent API</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/learn/aws-connect-partnership-expansion-unlocks-voice-data-scale" class="sc-e69ac761-0 bubdiz">Deepgram and Amazon Connect Integration</a><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/learn/best-speech-to-text-apis" class="sc-e69ac761-0 bubdiz">The Best Speech-to-Text APIs in 2024</a></div></div><div class="sc-ace17a57-0 iyzYAr"><div class="sc-ace17a57-0 fJkbQy"><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/terms" class="sc-e69ac761-0 bubdiz">Terms</a><span height="18px" class="sc-b323b31-0 eDwhGn"></span></div><div class="sc-ace17a57-0 fJkbQy"><a rel="" target="" font-family="bodyFont" font-size="textSm" text-decoration="none" href="/privacy" class="sc-e69ac761-0 bubdiz">Privacy</a><span height="18px" class="sc-b323b31-0 eDwhGn"></span></div><span font-family="bodyFont" font-size="textSm" class="sc-b323b31-0 bhNNuo">Copyright © 2025 Deepgram</span></div></div></div></footer></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"slug":["rectified-linear-unit-relu"],"pageData":{"templateGlossary":{"__typename":"TemplateGlossaryRecord","id":"TDTUh3VGRoe6WWav2AX1Cg","seo":null,"slug":"rectified-linear-unit-relu","title":"Rectified Linear Unit (ReLU)","categoryPage":false,"excerpt":{"__typename":"TemplateGlossaryModelExcerptField","value":{"schema":"dast","document":{"type":"root","children":[{"type":"paragraph","children":[{"type":"span","value":"This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep learning practices."}]}]}}},"body":{"__typename":"TemplateGlossaryModelBodyField","blocks":[],"links":[{"__typename":"ComponentImageRecord","id":"AGJOfobER-azW9kVyt5ZiA","caption":"Data is everything in the world of AI. But some data is better than others. [This article](https://deepgram.com/learn/the-ai-echo-chamber-model-collapse-synthetic-data-risks) unveils the unspoken truth of synthetic data.","imageDesktop":{"__typename":"FileField","id":"QU2pq6FHQ4iSD6II6lQvXA","title":null,"filename":"screen-shot-2024-06-18-at-11-48-34-am.png","size":3258631,"alt":null,"url":"https://www.datocms-assets.com/96965/1718736518-screen-shot-2024-06-18-at-11-48-34-am.png","width":1796,"height":1088},"imageMobile":null,"link":""},{"__typename":"ComponentImageRecord","id":"BhMk4l8yT9egZ1M4vCS0xg","caption":"From YouTube to Hollywood, voice cloning technology is everywhere. [Here's](https://deepgram.com/learn/voice-cloning-everything-to-know) everything you need to know about it.","imageDesktop":{"__typename":"FileField","id":"IEStvmdFS7qPzyWo_KtvTw","title":null,"filename":"screen-shot-2024-06-18-at-11-44-36-am.png","size":3006057,"alt":null,"url":"https://www.datocms-assets.com/96965/1718736282-screen-shot-2024-06-18-at-11-44-36-am.png","width":1794,"height":1160},"imageMobile":null,"link":""},{"__typename":"ComponentImageRecord","id":"OcUPVLYOTdiOH90vXDPFbA","caption":"Mixture of Experts (MoE) is a method that presents an efficient approach to dramatically increasing a model’s capabilities without introducing a proportional amount of computational overhead. To learn more, check out [this guide](https://deepgram.com/learn/mixture-of-experts-ml-model-guide)!","imageDesktop":{"__typename":"FileField","id":"cnmz5FWiQv2S--QFhqNL-g","title":null,"filename":"screen-shot-2024-06-16-at-2-06-22-am.png","size":2233720,"alt":null,"url":"https://www.datocms-assets.com/96965/1718528786-screen-shot-2024-06-16-at-2-06-22-am.png","width":1512,"height":788},"imageMobile":null,"link":""}],"value":{"schema":"dast","document":{"type":"root","children":[{"type":"paragraph","children":[{"type":"span","value":"Have you ever pondered why some neural networks excel while others falter in the ever-evolving realm of "},{"url":"https://deepgram.com/ai-glossary/deep-learning","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"deep learning"}]},{"type":"span","value":"? At the heart of many breakthrough models lies a surprisingly simple yet profoundly impactful function: the Rectified Linear Unit (ReLU). Astonishingly, despite its simplicity, ReLU has revolutionized the way we approach neural network design. With an increasing number of models suffering from the crippling effects of vanishing gradients—a challenge that stifles learning and model improvement—ReLU emerges as the knight in shining armor. This article delves into the essence of ReLU, shedding light on its pivotal role in neural networks and how it has become the cornerstone of modern deep learning practices. Expect to uncover the layers of this function's significance, its mathematical foundation, and its evolutionary journey from obscurity to ubiquity. How exactly did ReLU change the landscape of neural network functions, and what makes it so indispensable to today's AI advancements? Continue reading to unravel the mysteries of this deceptively simple yet powerful activation function."}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Introduction - The Rectified Linear Unit (ReLU)"}]},{"type":"paragraph","children":[{"type":"span","value":"The Rectified Linear Unit, or ReLU for short, has ascended to the forefront of activation functions within the neural network community. Its rise to prominence stems from a unique blend of simplicity and effectiveness, particularly in addressing two critical challenges in neural network training: promoting sparsity and mitigating the vanishing gradient problem. Here's a brief exploration of ReLU's significance:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Activation Functions"},{"type":"span","value":": These functions are the unsung heroes of neural networks, determining whether a neuron should be activated or not. They add non-linearity to the system, enabling the network to learn complex patterns beyond mere linear relationships."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Definition and Role of ReLU"},{"type":"span","value":": ReLU operates on a simple mathematical principle—f(x) = max(0, x). This means that for any positive input, the output remains unchanged, while any negative input is set to zero. This characteristic has profound implications for neural network performance, enhancing computational efficiency and facilitating the training process."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Promoting Sparsity"},{"type":"span","value":": By zeroing out negative values, ReLU encourages a sparse representation, reducing the computational load and potentially leading to better model generalization."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Mitigating Vanishing Gradients"},{"type":"span","value":": ReLU addresses the vanishing gradient issue by ensuring that the gradient for positive inputs remains unaffected, thus maintaining a strong gradient signal across deep networks."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"The evolutionary journey of activation functions reveals a constant search for efficiency and effectiveness. From sigmoid and tanh to ReLU, each step forward has been driven by the quest to overcome limitations of previous functions. The adoption of ReLU marks a significant milestone in this journey, reflecting a shift towards models that are not only powerful but also practical for large-scale applications. The question now is, what makes ReLU so uniquely suited to the demands of modern deep learning, and how has it reshaped our approach to neural network design?"}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Understanding ReLU and Its Mathematical Foundation"}]},{"type":"paragraph","children":[{"type":"span","value":"The Rectified Linear Unit (ReLU) has emerged as a cornerstone in the architecture of modern neural networks, celebrated for its straightforward yet effective approach. At its core, ReLU embodies a conceptually simple mathematical formula, "},{"type":"span","marks":["strong"],"value":"f(x) = max(0, x)"},{"type":"span","value":", which has profound implications for deep learning methodologies. This section delves into the intricacies of ReLU, highlighting its mathematical underpinnings, operational mechanics, and its pivotal role in addressing some of the neural network training's most pressing challenges."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"The Mathematical Formula of ReLU"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Basic Operation"},{"type":"span","value":": ReLU operates on a piecewise linear function that outputs the input directly if it is positive; otherwise, it outputs zero. This can be succinctly represented as "},{"type":"span","marks":["strong"],"value":"f(x) = max(0, x)"},{"type":"span","value":"."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Monotonic Nature"},{"type":"span","value":": As highlighted by a "},{"url":"https://deepchecks.com/glossary/rectified-linear-unit-relu/#:~:text=ReLU%20formula%20is%20%3A%20f(x,range%20of%200%20to%20infinite","type":"link","children":[{"type":"span","value":"deepchecks.com"}]},{"type":"span","value":" snippet, both ReLU and its derivative are monotonic functions. This implies that ReLU maintains a consistent gradient for all positive inputs, a characteristic that contributes to its effectiveness in deep learning models."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Computational Efficiency and Gradient Propagation"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Simplicity and Efficiency"},{"type":"span","value":": The simplicity of ReLU's mathematical formulation translates directly into computational efficiency. Unlike the exponential operations required by sigmoid and tanh functions, ReLU can be computed with minimal processing, accelerating the forward and backward passes through the network."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Mitigating Vanishing Gradients"},{"type":"span","value":": Traditional activation functions like sigmoid and tanh suffer from the vanishing gradient problem, where gradients become extremely small, effectively halting the network's learning. ReLU alleviates this issue by ensuring that the gradient for positive inputs remains robust, facilitating continuous learning even in deep networks."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"The Linearity of ReLU"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Facilitating Optimization"},{"type":"span","value":": The linear nature of ReLU for positive values simplifies the optimization landscape. This linearity ensures that, for positive inputs, the gradient remains constant, avoiding the complications of non-linear gradients that can impede the training process."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Promotion of Sparse Representations"},{"type":"span","value":": By zeroing out negative inputs, ReLU naturally promotes sparsity within the neural network's activations. Sparse representations have been shown to contribute to more efficient and effective models, as they reduce the computational burden and help the model to focus on the most salient features."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"The distinct characteristics of the Rectified Linear Unit—its simplicity, computational efficiency, and ability to mitigate the vanishing gradient problem—underscore its vital role in the ongoing development of neural network models. By fostering an environment where optimization is more straightforward and learning can proceed unimpeded by gradient-related challenges, ReLU stands out as a pivotal component in the architecture of contemporary deep learning solutions. Its adoption reflects a broader trend towards models that are not only powerful in their predictive capabilities but also pragmatic in terms of computational demands, enabling the scaling of neural networks to unprecedented levels of complexity and sophistication."}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Advantages and Applications of ReLU"}]},{"type":"paragraph","children":[{"type":"span","value":"The Rectified Linear Unit (ReLU) has taken the deep learning world by storm, offering a blend of simplicity and performance that has seen it become the go-to activation function for many researchers and practitioners. This section explores the multifaceted advantages of ReLU, particularly in "},{"url":"https://deepgram.com/ai-glossary/convolutional-neural-networks","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"convolutional neural networks"}]},{"type":"span","value":" (CNNs), and its wide-ranging applications across deep learning domains."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Why ReLU Reigns Supreme in Deep Learning"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Promotion of Sparsity"},{"type":"span","value":": ReLU's design inherently promotes sparsity by outputting zero for any negative input. This characteristic is pivotal because sparse representations mirror the way the human brain processes information—focusing on more significant, impactful stimuli and ignoring the rest. Sparsity, as supported by insights from "},{"url":"https://www.analyticsvidhya.com/","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"analyticsvidhya.com"}]},{"type":"span","value":", enhances model interpretability and efficiency, a critical factor in large-scale neural networks."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Acceleration of Gradient Descent Convergence"},{"type":"span","value":": The simplicity of ReLU also translates to an acceleration in the convergence of stochastic "},{"url":"https://deepgram.com/ai-glossary/online-gradient-descent","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"gradient descent"}]},{"type":"span","value":" methods when compared to the traditional sigmoid and tanh functions. This acceleration is due to ReLU's linear, non-saturating form, which allows gradients to flow better during the "},{"url":"https://deepgram.com/ai-glossary/backpropagation","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"backpropagation"}]},{"type":"span","value":" process. As outlined by "},{"url":"https://builtin.com/","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"builtin.com"}]},{"type":"span","value":", this can significantly reduce training times and computational costs, making deep learning models more accessible and scalable."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Broad Spectrum of Applications"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Dominance in Convolutional Neural Networks (CNNs)"},{"type":"span","value":": ReLU's advantages have made it especially popular in CNN architectures. Its ability to maintain gradient integrity over multiple layers without degradation is crucial for training deep networks efficiently. This has led to its widespread adoption in tasks that require the analysis of visual data, where CNNs excel."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Facilitating Advanced Image Recognition Tasks"},{"type":"span","value":": The application of ReLU in CNNs has propelled advances in image recognition technologies. Its efficiency in training deep networks allows for the development of models that can identify and classify images with high accuracy, closely mirroring human visual processing capabilities. This has profound implications for fields ranging from medical imaging, where it aids in the detection and diagnosis of diseases, to security, enabling more sophisticated facial recognition systems."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Enhancing Speech Recognition Systems"},{"type":"span","value":": Beyond image processing, ReLU has found applications in speech recognition, where the clarity and distinctness of signal processing are paramount. Here, ReLU's attributes help in building neural networks that can more effectively model the temporal and acoustic variability found in human speech, leading to systems that understand and process spoken language more accurately."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Conclusion"}]},{"type":"paragraph","children":[{"type":"span","value":"The distinct advantages of the Rectified Linear Unit, including the promotion of sparsity and acceleration of stochastic gradient descent convergence, underscore its pivotal role in the deep learning landscape. Coupled with its broad applicability in convolutional neural networks and tasks like image and speech recognition, ReLU's contributions are instrumental in pushing the boundaries of what deep learning models can achieve. Its simplicity, efficiency, and effectiveness make it a cornerstone of modern neural network design, facilitating advancements across a diverse array of applications that continue to transform technology and society."}]},{"type":"paragraph","children":[{"item":"AGJOfobER-azW9kVyt5ZiA","type":"inlineItem"}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Challenges and Variants of ReLU"}]},{"type":"paragraph","children":[{"type":"span","value":"Despite the widespread adoption and numerous benefits of the Rectified Linear Unit (ReLU) in deep learning models, it is not devoid of challenges. One notable issue is the \"dying ReLU\" problem, which can significantly hamper a model's learning process. Moreover, the development and implementation of ReLU variants aim to mitigate these drawbacks, enhancing model performance and reliability."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"The \"Dying ReLU\" Problem"}]},{"type":"paragraph","children":[{"type":"span","value":"The \"dying ReLU\" phenomenon refers to a situation in which neurons in a network using ReLU as the activation function stop contributing to the learning process. This issue arises because ReLU outputs zero for any negative input, which, in turn, means that any neuron that outputs a negative value has a derivative of zero. Consequently, during the backpropagation process, these neurons receive no gradient and thus, do not update their weights anymore. Over time, this can lead to a significant portion of the network becoming inactive, essentially \"dead\", which severely limits the network's capacity to learn."}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Examples and Explanations"},{"type":"span","value":": As detailed on "},{"url":"https://www.mygreatlearning.com/","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"mygreatlearning.com"}]},{"type":"span","value":", the dying ReLU problem can lead to the underutilization of a network's learning capacity, with potentially large sections of the network contributing nothing to the output. This is particularly problematic in deep networks, where the cumulative effect can be a substantial loss in model performance."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Data and Insights"},{"type":"span","value":": Research and analysis from "},{"url":"https://machinelearningmastery.com/","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"machinelearningmastery.com"}]},{"type":"span","value":" further illuminate how the dying ReLU can impact training dynamics. It shows that once a ReLU neuron gets into this dead state, it's challenging to revive it because the gradient through the function is zero, which stops the weight update process."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Addressing the Drawbacks: ReLU Variants"}]},{"type":"paragraph","children":[{"type":"span","value":"To mitigate the limitations of the original ReLU function, several variants have been proposed. These include Leaky ReLU, Parametric ReLU (PReLU), and Exponential Linear Unit (ELU), each designed with mechanisms to overcome the dying ReLU issue and enhance model performance."}]},{"type":"heading","level":4,"children":[{"type":"span","value":"Leaky ReLU"}]},{"type":"paragraph","children":[{"type":"span","value":"Leaky ReLU introduces a small, positive gradient for negative input values, which ensures that no neuron in the network completely \"dies.\" Even when the input is less than zero, Leaky ReLU allows a small, non-zero, gradient which enables backpropagation to continue updating weights. This small change:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Prevents neurons from becoming inactive"},{"type":"span","value":", allowing the network to retain and utilize its full learning capacity."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Improves model performance"},{"type":"span","value":", especially in deep networks where the dying ReLU problem is more prevalent."}]}]}]},{"type":"heading","level":4,"children":[{"type":"span","value":"Parametric ReLU (PReLU)"}]},{"type":"paragraph","children":[{"type":"span","value":"Parametric ReLU builds on the concept of Leaky ReLU by introducing a learnable parameter that adjusts the slope of the negative part of the function. This adaptability allows the network to dynamically learn the most appropriate \"leak\" rate for negative inputs during the training process. PReLU's benefits include:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Dynamic adaptation"},{"type":"span","value":", which enhances the network's flexibility and capacity to model complex relationships."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Improved accuracy"},{"type":"span","value":" in various tasks, as demonstrated in numerous studies, by effectively addressing the dying ReLU issue."}]}]}]},{"type":"heading","level":4,"children":[{"type":"span","value":"Exponential Linear Unit (ELU)"}]},{"type":"paragraph","children":[{"type":"span","value":"The Exponential Linear Unit (ELU) takes a different approach by using an exponential function for negative inputs. This not only prevents neurons from dying but also helps in normalizing the outputs, leading to faster convergence. Key advantages of ELU include:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Reducing the vanishing gradient problem"},{"type":"span","value":", thereby supporting more effective training of deep networks."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Faster learning and convergence"},{"type":"span","value":", as the exponential function helps in pulling mean activations closer to zero, which accelerates the learning process."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"Each of these ReLU variants offers a unique solution to the challenges posed by the original ReLU function, enhancing the performance and reliability of neural networks across a wide range of applications. By addressing the dying ReLU issue, these variants ensure that networks can fully utilize their learning capacity, leading to more accurate and efficient models."}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Practical Implementation and Performance"}]},{"type":"paragraph","children":[{"type":"span","value":"The transition from theoretical understanding to practical implementation marks a pivotal step in leveraging the power of the Rectified Linear Unit (ReLU) in neural networks. This journey involves coding ReLU in popular frameworks like TensorFlow or PyTorch, paying close attention to initialization methods, and applying regularization techniques to sidestep potential pitfalls like "},{"url":"https://deepgram.com/ai-glossary/overfitting-%5Bunderfitting%5D(https://deepgram.com/ai-glossary/overfitting-underfitting)","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"overfitting"}]},{"type":"span","value":". A guide from towardsdatascience.com offers a straightforward pathway for integrating ReLU into your models, showcasing its simplicity and the profound impact it can have on training performance and time efficiency."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Basic Implementation in Python"}]},{"type":"paragraph","children":[{"type":"span","value":"Implementing ReLU in Python using TensorFlow or PyTorch is remarkably straightforward, thanks to the user-friendly nature of these frameworks. Here's how you can seamlessly integrate ReLU into your neural networks:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"TensorFlow"},{"type":"span","value":": Using "},{"type":"span","marks":["code"],"value":"tf.nn.relu"},{"type":"span","value":" as the activation function in your layer definitions."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"PyTorch"},{"type":"span","value":": Applying "},{"type":"span","marks":["code"],"value":"torch.nn.ReLU()"},{"type":"span","value":" in your model's forward method."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"These implementations underscore the efficiency of ReLU, contributing to shorter training times and enhanced model performance. The simplicity of coding ReLU allows for more time to be spent on refining the model's architecture and tuning "},{"url":"https://deepgram.com/ai-glossary/hyperparameters","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"hyperparameters"}]},{"type":"span","value":", rather than grappling with the intricacies of activation function implementation."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Impact on Training Time and Performance"}]},{"type":"paragraph","children":[{"type":"span","value":"The adoption of ReLU has a tangible impact on the training dynamics of neural networks:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Reduced Training Time"},{"type":"span","value":": ReLU's non-saturating form facilitates faster convergence, significantly cutting down training time without compromising the accuracy."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Enhanced Performance"},{"type":"span","value":": Models utilizing ReLU often outperform those using traditional activation functions like sigmoid or tanh, particularly in deep learning tasks where vanishing gradients can impede learning in early layers."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Considerations for Using ReLU"}]},{"type":"paragraph","children":[{"type":"span","value":"While ReLU brings simplicity and efficiency to the table, certain considerations ensure its optimal use in practice:"}]},{"type":"heading","level":4,"children":[{"type":"span","value":"Initialization Methods"}]},{"type":"paragraph","children":[{"type":"span","value":"Proper weight initialization is crucial when using ReLU to prevent dead neurons and ensure a robust learning process. Strategies such as He initialization can be particularly effective, as they are tailored to address the needs of networks employing ReLU activation."}]},{"type":"heading","level":4,"children":[{"type":"span","value":"Regularization Techniques"}]},{"type":"paragraph","children":[{"type":"span","value":"To combat the risk of overfitting associated with ReLU, especially in complex models with a large number of parameters, incorporating regularization techniques becomes essential:"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Dropout"},{"type":"span","value":": Randomly omitting units from the network during training can prevent co-adaptation of features, making the model more robust."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"L2 Regularization"},{"type":"span","value":": Adding a penalty on the magnitude of coefficients can constrain the model's complexity, reducing the likelihood of overfitting."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"By bearing in mind these considerations, practitioners can harness the full potential of ReLU, optimizing their models for superior performance and efficiency. The balance between the ease of implementation and the need for mindful application of ReLU encapsulates the nuanced approach required for advanced neural network design and execution."}]},{"type":"paragraph","children":[{"item":"BhMk4l8yT9egZ1M4vCS0xg","type":"inlineItem"}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Comparative Analysis with Other Activation Functions"}]},{"type":"paragraph","children":[{"type":"span","value":"The realm of neural networks is rich with choices when it comes to activation functions, each bringing its own set of advantages and challenges to the table. Among these, the Rectified Linear Unit (ReLU) has carved out a niche for itself as a preferred option in numerous scenarios, thanks to its simplicity and efficiency. However, understanding when to use ReLU and when to opt for alternatives like sigmoid, tanh, or even ReLU's own variants, necessitates a closer look at their comparative dynamics."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"ReLU vs. Sigmoid and tanh"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Computational Efficiency"},{"type":"span","value":": ReLU stands out for its computational simplicity, as it involves straightforward thresholding at zero. This is in stark contrast to the sigmoid and tanh functions, which require more complex exponential computations. The guide on dremio.com highlights this efficiency, noting that ReLU's simple operation can significantly speed up the training process without the computational burden posed by sigmoid and tanh."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Gradient Propagation"},{"type":"span","value":": One of ReLU's most celebrated features is its capacity to alleviate the vanishing gradient problem, a common ailment when using sigmoid and tanh. These traditional functions tend to squash their input into a very small output range in a non-linear fashion, which can cause gradients to vanish during backpropagation, especially in deep networks. ReLU, with its linear and non-saturating form, allows gradients to flow through unchanged for positive inputs, ensuring that the network continues to learn."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Use Cases"},{"type":"span","value":": ReLU's dominance is most pronounced in deep learning models, particularly in convolutional neural networks (CNNs), where its ability to provide sparse activation and reduce the likelihood of vanishing gradients is crucial. Conversely, sigmoid and tanh might still find their niches in scenarios where a bounded output is necessary, such as in the output layer of "},{"url":"https://deepgram.com/ai-glossary/binary-classification-ai","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"binary classification AI"}]},{"type":"span","value":" models (sigmoid) or when modeling data that has been normalized to range between -1 and 1 (tanh)."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"When to Consider ReLU Variants"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Addressing ReLU's Limitations"},{"type":"span","value":": While ReLU's simplicity is a boon, it's not without its downsides. The \"dying ReLU\" problem, where neurons become inactive and cease to contribute to the learning process, necessitates the consideration of ReLU variants. Insights from research at automl.org underscore the development of variants like Leaky ReLU, Parametric ReLU (PReLU), and Exponential Linear Unit (ELU) to counteract these issues."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Leaky ReLU and PReLU"},{"type":"span","value":": These variants introduce a small, positive gradient for negative inputs, thus keeping the neurons \"alive\" and ensuring that the network retains its learning capacity. They are particularly beneficial in models where the risk of neuron death is high, providing a safety net that mitigates this issue without departing too far from ReLU's original simplicity."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Exponential Linear Unit (ELU)"},{"type":"span","value":": ELU goes a step further by smoothly saturating for negative inputs, which can help with reducing the vanishing gradient problem even more effectively than ReLU. Its use, however, comes at the cost of increased computational complexity, making it a trade-off between improved learning dynamics and higher resource consumption."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"In drawing comparisons across these activation functions, it's clear that the choice hinges on the specific demands of the model and the computational resources at hand. ReLU, with its straightforward operation and ability to facilitate efficient learning, stands as the go-to choice for many. Yet, the nuanced challenges posed by certain training scenarios may warrant a pivot towards its variants or entirely different functions like sigmoid and tanh, underscoring the importance of a tailored approach in neural network design."}]},{"type":"heading","level":2,"children":[{"type":"span","value":"Future Directions and Conclusion"}]},{"type":"paragraph","children":[{"type":"span","value":"The journey of the Rectified Linear Unit (ReLU) from its inception to becoming a cornerstone in deep learning architectures is a testament to the relentless pursuit of efficiency and performance in the field of artificial intelligence. As we stand at the cusp of new discoveries, the trajectory of ReLU and its variants promises to be as dynamic as the field itself. Let's delve into the ongoing research and potential future enhancements that continue to shape this exciting landscape."}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Ongoing Research into ReLU and Its Variants"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Exploration of New Variants"},{"type":"span","value":": Innovations such as Leaky ReLU, Parametric ReLU (PReLU), and Exponential Linear Unit (ELU) have addressed some of the limitations of the original ReLU function. Research highlighted by automl.org demonstrates a keen interest in evolving these variants further, aiming to optimize their performance across a broader spectrum of neural network architectures."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Addressing Dying Neurons"},{"type":"span","value":": The phenomenon of dying neurons in ReLU-activated networks has spurred research into mechanisms that can prevent this issue without compromising the computational efficiency that ReLU offers. Techniques that allow small gradients for negative inputs or adaptively adjust the activation function based on the learning phase are under exploration."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Hybrid Activation Functions"},{"type":"span","value":": The development of hybrid models that combine the benefits of ReLU with other activation functions is an area of burgeoning interest. These hybrids aim to leverage the simplicity and efficiency of ReLU while mitigating its shortcomings, such as the dying neuron problem and the lack of smoothness in its derivative."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"The Critical Role of ReLU in Neural Network Design"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Simplicity and Efficiency"},{"type":"span","value":": ReLU's straightforward mathematical formulation—returning the input if it's positive and zero otherwise—has drastically reduced the complexity of computations in neural networks, making it possible to train deeper and more complex models with greater efficiency."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Mitigating Vanishing Gradients"},{"type":"span","value":": By allowing positive gradients to pass through unchanged, ReLU has significantly alleviated the vanishing gradient problem, enabling models to learn faster and more effectively. This characteristic has been instrumental in the success of deep learning models, particularly in the fields of computer vision and "},{"url":"https://deepgram.com/ai-glossary/natural-language-processing","meta":[{"id":"target","value":"_blank"}],"type":"link","children":[{"type":"span","value":"natural language processing"}]},{"type":"span","value":"."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Facilitating Sparse Representations"},{"type":"span","value":": ReLU promotes sparsity by setting negative inputs to zero, which has been shown to improve the robustness and performance of neural networks. This feature is especially beneficial in convolutional neural networks (CNNs) and autoencoders, where sparsity can lead to more efficient feature representations."}]}]}]},{"type":"heading","level":3,"children":[{"type":"span","value":"Speculations on ReLU's Evolution"}]},{"type":"list","style":"bulleted","children":[{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Towards More Adaptive Models"},{"type":"span","value":": As the field of deep learning evolves, there is a growing need for activation functions that can adapt to the specific characteristics of the data and the learning phase. Future variants of ReLU might incorporate mechanisms to dynamically adjust their behavior, offering the best of both worlds—efficiency and adaptability."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Integration with Novel Architectures"},{"type":"span","value":": The search for new neural network architectures that can tackle the ever-increasing complexity of tasks will likely see ReLU and its variants playing a pivotal role. Whether it's through enhancing existing models or enabling the development of entirely new ones, the evolution of ReLU will be closely intertwined with the progress in neural network design."}]}]},{"type":"listItem","children":[{"type":"paragraph","children":[{"type":"span","marks":["strong"],"value":"Cross-disciplinary Applications"},{"type":"span","value":": The versatility of ReLU has already seen it being applied beyond traditional deep learning tasks. As researchers explore its potential in areas such as reinforcement learning, generative models, and even quantum computing, ReLU's influence is set to expand, driving innovation across diverse domains."}]}]}]},{"type":"paragraph","children":[{"type":"span","value":"The narrative of ReLU is far from complete. With each stride in research and application, it continues to redefine the boundaries of what's possible in artificial intelligence, underscoring the profound impact of seemingly simple innovations in the quest to mimic the intricacies of human intelligence."}]},{"type":"paragraph","children":[{"item":"OcUPVLYOTdiOH90vXDPFbA","type":"inlineItem"}]}]}}},"_updatedAt":"2024-06-18T12:35:47-07:00"},"conversionPanel":{"__typename":"ComponentConversionPanelRecord","id":"181928448","internalName":"[Template Glossary] Conversion Panel","variant":"","heading":"Unlock language AI at scale with an API call.","headingType":"H2","desktopHeadingSize":"md","tabletHeadingSize":"md","mobileHeadingSize":"md","body":{"__typename":"ComponentConversionPanelModelBodyField","blocks":[],"links":[],"value":{"schema":"dast","document":{"type":"root","children":[{"type":"paragraph","children":[{"type":"span","value":"Get conversational intelligence with transcription and understanding on the world's best speech AI platform."}]}]}}},"callToActions":[{"__typename":"ComponentCallToActionRecord","id":"100147828","internalName":"Sign Up Free | Primary","ctaId":"try-deepgram","buttonType":"fill","color":"primary","label":"Sign Up Free","link":"https://console.deepgram.com/signup?jump=stt-demo","openInNewWindow":false,"startIcon":"","endIcon":"","popup":null,"header":"","subheader":"","background":"","layout":""},{"__typename":"ComponentCallToActionRecord","id":"115165020","internalName":"Schedule a Demo","ctaId":"","buttonType":"fill","color":"primary","label":"Schedule a Demo","link":"https://deepgram.com/contact-us/","openInNewWindow":false,"startIcon":"","endIcon":"","popup":null,"header":"","subheader":"","background":"","layout":""}],"form":null,"isGrayBorder":null,"isContained":false,"gradientBackground":""}},"navData":[{"__typename":"TemplateGlossaryRecord","id":"Bgtr26F0Q6mK1IScrMNuSA","slug":"gradient-clipping","title":"Gradient Clipping","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XIY2ST27QQKF3YEBXH0_dQ","slug":"generative-adversarial-networks","title":"Generative Adversarial Networks (GANs)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Ao9izSDwR0yzeDjS8Zue_Q","slug":"rule-based-ai","title":"Rule-Based AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AlphPMghRbmjR3ai5xuC8w","slug":"ai-assistants","title":"AI Assistants","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Bq8SZiKiSZCCKlhJU4RP8Q","slug":"ai-voice-agents","title":"AI Voice Agents","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"did2w7TuR52aO8zNSMiF4w","slug":"activation-functions","title":"Activation Functions","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"MbmpNsmETHevvSXJPuo_3w","slug":"dall-e","title":"Dall-E","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eEBoAT66TKKBbT1v8MK2BQ","slug":"prompt-engineering","title":"Prompt Engineering","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"R8yneRheSLG8YRSIV6294Q","slug":"text-to-speech-models","title":"Text-to-Speech Models","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ASbPvkseQhCxFeuGKOlTIg","slug":"ai-agents","title":"AI Agents","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"D-LYCqHVTn6Dm961FZrYGQ","slug":"hyperparameters","title":"Hyperparameters","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"R_j-gL_AQBq6KPr-Dd0RwQ","slug":"ai-and-education","title":"AI and Education","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"FNQLmKCcQHad4NcGjMzZ5Q","slug":"ai-and-medicine","title":"AI and Medicine","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"O447_bqURoKkHkC8Mo-4ZQ","slug":"chess-bots","title":"Chess bots","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"coCFf1uWRriPUX-kXj2VpA","slug":"midjourney-image-generation","title":"Midjourney (Image Generation)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PPBYl6DHRzSChE28KE5r-g","slug":"distilbert","title":"DistilBERT","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SmkAoi8jRmOjXGohNoSEmw","slug":"mistral","title":"Mistral","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XCqL3KU8QGOjCi2vjEjK2A","slug":"xlnet","title":"XLNet","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"H_By1IlSQfG-DsU3-bc3TQ","slug":"benchmarking","title":"Benchmarking","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"188522077","slug":"llama-2","title":"Llama 2","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"A2u56tqFR8CBqoEjOnSmFw","slug":"sentiment-analysis","title":"Sentiment Analysis","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"188534182","slug":"llm-collection","title":"LLM Collection","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"188524210","slug":"chatgpt","title":"ChatGPT","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"R_L-Xd7tQvS_zorXY69NJg","slug":"mixture-of-experts","title":"Mixture of Experts","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"204498515","slug":"latent-dirichlet-allocation","title":"Latent Dirichlet Allocation (LDA)","categoryPage":false,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"179504024","slug":"techniques","title":"Techniques"}]},{"__typename":"TemplateGlossaryRecord","id":"KMhCpgLeSjy5DQMtpQsvgw","slug":"roberta","title":"RoBERTa","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XoZlU4vPR4-mpr6mdmD9sw","slug":"rlhf","title":"RLHF","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RiEs8bA9TGSG-BOtFRXvWQ","slug":"multimodal-ai","title":"Multimodal AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"coNNpVJhSGSsnXP7-m1WIA","slug":"transformers","title":"Transformers","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ckM5kgC_QRiHjJmulhy6aA","slug":"winnow-algorithm","title":"Winnow Algorithm","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"aFsAzepwRj6zqnZSAJH1mw","slug":"k-shingles","title":"k-Shingles","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bUhMO54NRu2JGH-E5U916g","slug":"flajolet-martin-algorithm","title":"Flajolet-Martin Algorithm","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AN34UHpCQ-SCcrLIE7CZFg","slug":"batch-gradient-descent","title":"Batch Gradient Descent","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bknejGlbSOaJOluJXHjs9Q","slug":"cure-algorithm","title":"CURE Algorithm","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ciaa-zOITFyvTAGVD-ia9w","slug":"online-gradient-descent","title":"Online Gradient Descent","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"O3KDxYe6TCyt4zmnaVLEGw","slug":"zero-shot-classification-models","title":"Zero-shot Classification Models","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dD8W5uB-QH-E0AuNdsc0pg","slug":"curse-of-dimensionality","title":"Curse of Dimensionality","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SQ0HV75DR-CLmCUzYvgX-Q","slug":"backpropagation","title":"Backpropagation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"J6pcWC34TBaLg86zN-9BBQ","slug":"dimensionality-reduction","title":"Dimensionality Reduction","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Y-xcAmSnRz6OI33RwhQAUQ","slug":"multimodal-learning","title":"Multimodal Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"B1viOgUGQvCVT-q5oxhxEw","slug":"gaussian-processes","title":"Gaussian Processes","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Z1fghEWzQMeR_dIXaOdvZg","slug":"ai-voice-transfer","title":"AI Voice Transfer","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eTo4h3u9QeidxXQSTMMI7w","slug":"gated-recurrent-unit","title":"Gated Recurrent Unit","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bfA-Z_QhSi20w55S_OZMLQ","slug":"prompt-chaining","title":"Prompt Chaining","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"cRfqWgEIRzSDF1Ykbfr74w","slug":"approximate-dynamic-programming","title":"Approximate Dynamic Programming","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RF8dag7AT8S0w0Duq4jlVg","slug":"adversarial-machine-learning","title":"Adversarial Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"LzNLbNSdS1-B87RqVLqMCA","slug":"bayesian-machine-learning","title":"Bayesian Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"J09UGN3oQ0inO1-Io2uJYA","slug":"deep-reinforcement-learning","title":"Deep Reinforcement Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"G0VP5rCxTiaPEyeZzxvHOQ","slug":"speech-to-text-models","title":"Speech-to-text models","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Ct0y106HT_uqFeUdObd_WA","slug":"grounding","title":"Grounding","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bbYq9U7DStm8hVVgslTtwg","slug":"feedforward-neural-network","title":"Feedforward Neural Network","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HVzyJ39MTUGakOX4i8QV9w","slug":"bert","title":"BERT","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GY_NlpL3SXe7o-SCAIM4JQ","slug":"gradient-boosting-machines","title":"Gradient Boosting Machines (GBMs)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"a1AhZD4ETCSJYqVrgfGYOw","slug":"retrieval-augmented-generation","title":"Retrieval-Augmented Generation (RAG)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"204501183","slug":"perceptron","title":"Perceptron","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"204501164","slug":"overfitting-underfitting","title":"Overfitting and Underfitting","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"189548147","slug":"machine-learning","title":"Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"179501404","slug":"large-language-model","title":"Large Language Model (LLM)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"200517709","slug":"graphics-processing-unit-gpu","title":"Graphics Processing Unit (GPU)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"201496498","slug":"diffusion-model","title":"Diffusion Models","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"201154211","slug":"classification","title":"Classification","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"200793338","slug":"tensor-processing-unit-tpu","title":"Tensor Processing Unit (TPU)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"196854814","slug":"natural-language-processing","title":"Natural Language Processing (NLP)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"IHnjLPHbQYOHnDu4IgBOCA","slug":"google-bard","title":"Google's Bard","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GIJJYhHxRUu8Tay-_zocmQ","slug":"openai-whisper","title":"OpenAI Whisper","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"JeAWB1vOQf-CIpxc4MFAtw","slug":"sequence-modeling","title":"Sequence Modeling","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"da6ZCaExSF6u0MQweW724w","slug":"precision-and-recall","title":"Precision and Recall","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Zj8ZRvyiR1efrB8cPmfGWQ","slug":"semantic-kernel","title":"Semantic Kernel","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"QpraH3YJR_efbTAmTLv5zQ","slug":"fine-tuning-deep-learning","title":"Fine Tuning in Deep Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"cAfXc4ZdScKxdEoktJQW2Q","slug":"gradient-scaling","title":"Gradient Scaling","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bwFICzL2RpGAP1w--nLCpw","slug":"alphago-zero","title":"AlphaGo Zero","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YTEHgG0TRDSDTIRpMlsabg","slug":"cognitive-map","title":"Cognitive Map","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"BLfo9azwSZiRgZRLBIaPbQ","slug":"keyphrase-extraction","title":"Keyphrase Extraction","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Kgn5vdIeTVqZQ_1b_mAlqA","slug":"multimodal-aI-models-and-modalities","title":"Multimodal AI Models and Modalities","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YpNC6WXzQn-LpIeEJXmu1A","slug":"hidden-markov-models","title":"Hidden Markov Models (HMMs)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"197891355","slug":"ai-hardware","title":"AI Hardware","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"204194109","slug":"deep-learning","title":"Deep Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"204185243","slug":"natural-language-generation","title":"Natural Language Generation (NLG)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"204181940","slug":"natural-language-understanding","title":"Natural Language Understanding (NLU)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"198660383","slug":"tokenization","title":"Tokenization","categoryPage":false,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"179504024","slug":"techniques","title":"Techniques"}]},{"__typename":"TemplateGlossaryRecord","id":"203353199","slug":"word-embeddings","title":"Word Embeddings","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XMrPWqTLQTavlkWIQ-KLwA","slug":"ai-and-finance","title":"AI and Finance","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"U2H88h-qSnORZbML_nB49g","slug":"alphago","title":"AlphaGo","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"FXz7QqXwQpeBTjdqY0oA3A","slug":"ai-recommendation-algorithms","title":"AI Recommendation Algorithms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Wi-TdYmBRYyYTRyHsqYqiw","slug":"binary-classification-ai","title":"Binary Classification AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"A8QjiPQXQsGEzN_8RrpquA","slug":"ai-generated-music","title":"AI Generated Music","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"IGuKj4dQQOKFqA8zFqUy2Q","slug":"neuralink","title":"Neuralink","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YSol44u5T02s7KoGZbPURA","slug":"ai-video-generation","title":"AI Video Generation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HxN-1yAMRZOgouWpzzdDEw","slug":"openai-sora","title":"OpenAI Sora","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Gfb3nOSfRg6P2U3d1I6p3A","slug":"hooke-jeeves-algorithm","title":"Hooke-Jeeves Algorithm","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"KpIO22kyRbOLgeW76Zqfow","slug":"mamba","title":"Mamba","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"200520712","slug":"central-processing-unit-cpu","title":"Central Processing Unit (CPU)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"193486083","slug":"generative-ai","title":"Generative AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SsDYkicaQb2A_19Q6jIo3A","slug":"representation-learning","title":"Representation Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"MAPy3XtTRtWbgPsggdseNA","slug":"ai-in-customer-service","title":"AI in Customer Service","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"cdQSdxdFTWeX9vKqKwD4OQ","slug":"conditional-variational-autoencoders","title":"Conditional Variational Autoencoders","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PFn959jeRHi43kR4-OEu9A","slug":"conversational-ai","title":"Conversational AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SjpYYpFsSF-75djFNsk7Ww","slug":"packages-glossary","title":"Packages","categoryPage":true,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"ZFm_Bmb_TRWBBMxh4NrklQ","slug":"cognitive-architectures","title":"Cognitive Architectures"},{"__typename":"TemplateGlossaryRecord","id":"HQWyc2QLRIilSSbIkjNWvg","slug":"keras","title":"Keras"},{"__typename":"TemplateGlossaryRecord","id":"B2S-5EFhT_26N0JjAkcPkw","slug":"matplotlib","title":"Matplotlib"},{"__typename":"TemplateGlossaryRecord","id":"EMhmVbdaSBGpjcLvQJ2Fgw","slug":"mlops","title":"MLOps"},{"__typename":"TemplateGlossaryRecord","id":"R_slYv1KTMqHYl9q0b5AaA","slug":"natural-language-toolkit-nltk","title":"Natural Language Toolkit (NLTK)"},{"__typename":"TemplateGlossaryRecord","id":"SB7_tiA2T_WA37ZWcghhgg","slug":"numpy","title":"NumPy"},{"__typename":"TemplateGlossaryRecord","id":"F1QXydL0Qby7lPkUx0mfZQ","slug":"pandas","title":"Pandas"},{"__typename":"TemplateGlossaryRecord","id":"Mm78GVtMSR24McvzwF9SNQ","slug":"pytorch","title":"PyTorch"},{"__typename":"TemplateGlossaryRecord","id":"EU98-1F-Sx6VbNX1j_9Z7Q","slug":"scipy","title":"SciPy"},{"__typename":"TemplateGlossaryRecord","id":"NDstK_b8TomZhW8-uopSiw","slug":"scikit-learn","title":"Scikit-learn"},{"__typename":"TemplateGlossaryRecord","id":"TXLwZn3NQNKWoCIvc32fTA","slug":"seaborn-python-package","title":"Seaborn Python Package"},{"__typename":"TemplateGlossaryRecord","id":"D5RriTrYRhqMwTlRNBaftg","slug":"tensorflow","title":"TensorFlow"}]},{"__typename":"TemplateGlossaryRecord","id":"179501395","slug":"models","title":"Models","categoryPage":true,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"Bq8SZiKiSZCCKlhJU4RP8Q","slug":"ai-voice-agents","title":"AI Voice Agents"},{"__typename":"TemplateGlossaryRecord","id":"U2H88h-qSnORZbML_nB49g","slug":"alphago","title":"AlphaGo"},{"__typename":"TemplateGlossaryRecord","id":"bwFICzL2RpGAP1w--nLCpw","slug":"alphago-zero","title":"AlphaGo Zero"},{"__typename":"TemplateGlossaryRecord","id":"UV7ueNkBQoKSzsHJIzI-vA","slug":"autoregressive-model","title":"Autoregressive Model"},{"__typename":"TemplateGlossaryRecord","id":"HVzyJ39MTUGakOX4i8QV9w","slug":"bert","title":"BERT"},{"__typename":"TemplateGlossaryRecord","id":"188524210","slug":"chatgpt","title":"ChatGPT"},{"__typename":"TemplateGlossaryRecord","id":"O447_bqURoKkHkC8Mo-4ZQ","slug":"chess-bots","title":"Chess bots"},{"__typename":"TemplateGlossaryRecord","id":"ZkxVXXa4TlKsyGkSI24e4g","slug":"continuous-learning-systems","title":"Continuous Learning Systems"},{"__typename":"TemplateGlossaryRecord","id":"MbmpNsmETHevvSXJPuo_3w","slug":"dall-e","title":"Dall-E"},{"__typename":"TemplateGlossaryRecord","id":"201496498","slug":"diffusion-model","title":"Diffusion Models"},{"__typename":"TemplateGlossaryRecord","id":"PPBYl6DHRzSChE28KE5r-g","slug":"distilbert","title":"DistilBERT"},{"__typename":"TemplateGlossaryRecord","id":"JTtsQexWRPqco3HQL_gfIg","slug":"eco-friendly-ai","title":"Eco-friendly AI"},{"__typename":"TemplateGlossaryRecord","id":"FktTmuaPSWGeV23tYub3mQ","slug":"foundation-models","title":"Foundation Models"},{"__typename":"TemplateGlossaryRecord","id":"ZqYCftlkQ5KuxkgThJqduw","slug":"generative-teaching-networks","title":"Generative Teaching Networks"},{"__typename":"TemplateGlossaryRecord","id":"IHnjLPHbQYOHnDu4IgBOCA","slug":"google-bard","title":"Google's Bard"},{"__typename":"TemplateGlossaryRecord","id":"YpNC6WXzQn-LpIeEJXmu1A","slug":"hidden-markov-models","title":"Hidden Markov Models (HMMs)"},{"__typename":"TemplateGlossaryRecord","id":"bJffMNVnS2G2xE3m62Y7JA","slug":"human-centered-ai","title":"Human-centered AI"},{"__typename":"TemplateGlossaryRecord","id":"d-uHZg0MRxK-9YalG92XGg","slug":"inference-engine","title":"Inference Engine"},{"__typename":"TemplateGlossaryRecord","id":"179501404","slug":"large-language-model","title":"Large Language Model (LLM)"},{"__typename":"TemplateGlossaryRecord","id":"188522077","slug":"llama-2","title":"Llama 2"},{"__typename":"TemplateGlossaryRecord","id":"Dh86zYi1QXC53TibmuALfQ","slug":"limited-memory-ai","title":"Limited Memory AI"},{"__typename":"TemplateGlossaryRecord","id":"188534182","slug":"llm-collection","title":"LLM Collection"},{"__typename":"TemplateGlossaryRecord","id":"KpIO22kyRbOLgeW76Zqfow","slug":"mamba","title":"Mamba"},{"__typename":"TemplateGlossaryRecord","id":"YqRod7TPRY6Z5-JReTgVFg","slug":"metacognitive-learning-models ","title":"Metacognitive Learning Models "},{"__typename":"TemplateGlossaryRecord","id":"coCFf1uWRriPUX-kXj2VpA","slug":"midjourney-image-generation","title":"Midjourney (Image Generation)"},{"__typename":"TemplateGlossaryRecord","id":"SmkAoi8jRmOjXGohNoSEmw","slug":"mistral","title":"Mistral"},{"__typename":"TemplateGlossaryRecord","id":"RZJyfHpLT4G4jqpIiT1P1w","slug":"multi-agent-systems","title":"Multi-Agent Systems"},{"__typename":"TemplateGlossaryRecord","id":"Kgn5vdIeTVqZQ_1b_mAlqA","slug":"multimodal-aI-models-and-modalities","title":"Multimodal AI Models and Modalities"},{"__typename":"TemplateGlossaryRecord","id":"IGuKj4dQQOKFqA8zFqUy2Q","slug":"neuralink","title":"Neuralink"},{"__typename":"TemplateGlossaryRecord","id":"HxN-1yAMRZOgouWpzzdDEw","slug":"openai-sora","title":"OpenAI Sora"},{"__typename":"TemplateGlossaryRecord","id":"GIJJYhHxRUu8Tay-_zocmQ","slug":"openai-whisper","title":"OpenAI Whisper"},{"__typename":"TemplateGlossaryRecord","id":"204501183","slug":"perceptron","title":"Perceptron"},{"__typename":"TemplateGlossaryRecord","id":"Ie38xRH6T2K3tMlV8CS5ow","slug":"probabilistic-models-in-machine-learning","title":"Probabilistic Models in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"KMhCpgLeSjy5DQMtpQsvgw","slug":"roberta","title":"RoBERTa"},{"__typename":"TemplateGlossaryRecord","id":"Ao9izSDwR0yzeDjS8Zue_Q","slug":"rule-based-ai","title":"Rule-Based AI"},{"__typename":"TemplateGlossaryRecord","id":"fnOltJOjTfqZYkqGOX1-0g","slug":"self-healing-ai","title":"Self-healing AI"},{"__typename":"TemplateGlossaryRecord","id":"G0VP5rCxTiaPEyeZzxvHOQ","slug":"speech-to-text-models","title":"Speech-to-text models"},{"__typename":"TemplateGlossaryRecord","id":"HQ1VAEPHRTO5ublcntg6_A","slug":"support-vector-machines-svm","title":"Support Vector Machines (SVM)"},{"__typename":"TemplateGlossaryRecord","id":"R8yneRheSLG8YRSIV6294Q","slug":"text-to-speech-models","title":"Text-to-Speech Models"},{"__typename":"TemplateGlossaryRecord","id":"LRghvBpcTwagUqAbeLAFsg","slug":"whisper-v2","title":"Whisper v2"},{"__typename":"TemplateGlossaryRecord","id":"AOXPWCaFRgqdphjufJoYhg","slug":"whisper-v3","title":"Whisper v3"},{"__typename":"TemplateGlossaryRecord","id":"XCqL3KU8QGOjCi2vjEjK2A","slug":"xlnet","title":"XLNet"}]},{"__typename":"TemplateGlossaryRecord","id":"185391405","slug":"fundamentals","title":"Fundamentals","categoryPage":true,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"B7YBdzqtQ9Sm9U7QTkTiag","slug":"ablation","title":"Ablation"},{"__typename":"TemplateGlossaryRecord","id":"CFhAnLbOQ6qZnyGx80X0Ug","slug":"accuracy","title":"Accuracy in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"ZANDcjQRSvS6ms800J3elQ","slug":"active-learning","title":"Active Learning (Machine Learning)"},{"__typename":"TemplateGlossaryRecord","id":"RF8dag7AT8S0w0Duq4jlVg","slug":"adversarial-machine-learning","title":"Adversarial Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"Zmxx7FnnSkiQ9bKUGonE2Q","slug":"affective-ai","title":"Affective AI"},{"__typename":"TemplateGlossaryRecord","id":"ASbPvkseQhCxFeuGKOlTIg","slug":"ai-agents","title":"AI Agents"},{"__typename":"TemplateGlossaryRecord","id":"R_j-gL_AQBq6KPr-Dd0RwQ","slug":"ai-and-education","title":"AI and Education"},{"__typename":"TemplateGlossaryRecord","id":"XMrPWqTLQTavlkWIQ-KLwA","slug":"ai-and-finance","title":"AI and Finance"},{"__typename":"TemplateGlossaryRecord","id":"FNQLmKCcQHad4NcGjMzZ5Q","slug":"ai-and-medicine","title":"AI and Medicine"},{"__typename":"TemplateGlossaryRecord","id":"AlphPMghRbmjR3ai5xuC8w","slug":"ai-assistants","title":"AI Assistants"},{"__typename":"TemplateGlossaryRecord","id":"OiGnuVIoRc2LR9M9yD0Ykw","slug":"ai-detection","title":"AI Detection"},{"__typename":"TemplateGlossaryRecord","id":"UjwASJbQThOOh41ARdUwOw","slug":"ai-ethics","title":"AI Ethics"},{"__typename":"TemplateGlossaryRecord","id":"A8QjiPQXQsGEzN_8RrpquA","slug":"ai-generated-music","title":"AI Generated Music"},{"__typename":"TemplateGlossaryRecord","id":"BN_T-lcrSCmoHPvJbHgSDw","slug":"ai-hallucinations","title":"AI Hallucinations"},{"__typename":"TemplateGlossaryRecord","id":"197891355","slug":"ai-hardware","title":"AI Hardware"},{"__typename":"TemplateGlossaryRecord","id":"MAPy3XtTRtWbgPsggdseNA","slug":"ai-in-customer-service","title":"AI in Customer Service"},{"__typename":"TemplateGlossaryRecord","id":"VN4LHt9RTHyqDYf4NvOkmw","slug":"ai-interpretability","title":"AI Interpretability"},{"__typename":"TemplateGlossaryRecord","id":"T6VUq1GCTAmd40u8DOFojg","slug":"ai-lifecycle-management","title":"AI Lifecycle Management"},{"__typename":"TemplateGlossaryRecord","id":"eMSGlorpS4meip0t8AkSkQ","slug":"ai-literacy","title":"AI Literacy"},{"__typename":"TemplateGlossaryRecord","id":"fJ7V10dnT4Wrvr0okP5LeQ","slug":"ai-monitoring","title":"AI Monitoring"},{"__typename":"TemplateGlossaryRecord","id":"TGa_4809RRSrp1xS6OkP4Q","slug":"ai-oversight","title":"AI Oversight"},{"__typename":"TemplateGlossaryRecord","id":"DKl3fOcZS_S0fpQ4EIQBfw","slug":"ai-privacy","title":"AI Privacy"},{"__typename":"TemplateGlossaryRecord","id":"PcthLNc8Q3OeWAWvQW0RyA","slug":"ai-prototyping","title":"AI Prototyping"},{"__typename":"TemplateGlossaryRecord","id":"FXz7QqXwQpeBTjdqY0oA3A","slug":"ai-recommendation-algorithms","title":"AI Recommendation Algorithms"},{"__typename":"TemplateGlossaryRecord","id":"NIOHQWqxQ7KMgCwZvAwsNA","slug":"ai-regulation","title":"AI Regulation"},{"__typename":"TemplateGlossaryRecord","id":"RD7m0kgFTCeQjDvExxrLkw","slug":"ai-resilience","title":"AI Resilience"},{"__typename":"TemplateGlossaryRecord","id":"HdjrkkKeR3OOirnCxT6JHQ","slug":"ai-robustness","title":"AI Robustness"},{"__typename":"TemplateGlossaryRecord","id":"QuaiL-NvTtu1p2N_iJLcqA","slug":"ai-safety","title":"AI Safety"},{"__typename":"TemplateGlossaryRecord","id":"C91binFCSd2oumBsCcYkFg","slug":"ai-scalability","title":"AI Scalability"},{"__typename":"TemplateGlossaryRecord","id":"TRwNNgKKRcGJhPtFzN5dMw","slug":"ai-simulation","title":"AI Simulation"},{"__typename":"TemplateGlossaryRecord","id":"Z7NVb91OSB2r1BwHaGNzeg","slug":"ai-standards","title":"AI Standards"},{"__typename":"TemplateGlossaryRecord","id":"OTog3YGBTJm4JJ6UzmBi_w","slug":"ai-steering","title":"AI Steering"},{"__typename":"TemplateGlossaryRecord","id":"JVbUE15KQ4iCkdj-55o5cw","slug":"ai-transparency","title":"AI Transparency"},{"__typename":"TemplateGlossaryRecord","id":"YSol44u5T02s7KoGZbPURA","slug":"ai-video-generation","title":"AI Video Generation"},{"__typename":"TemplateGlossaryRecord","id":"Z1fghEWzQMeR_dIXaOdvZg","slug":"ai-voice-transfer","title":"AI Voice Transfer"},{"__typename":"TemplateGlossaryRecord","id":"cRfqWgEIRzSDF1Ykbfr74w","slug":"approximate-dynamic-programming","title":"Approximate Dynamic Programming"},{"__typename":"TemplateGlossaryRecord","id":"dAVzIpZ_R0GWo4JZDM9EZw","slug":"artificial-super-intelligence","title":"Artificial Super Intelligence"},{"__typename":"TemplateGlossaryRecord","id":"SQ0HV75DR-CLmCUzYvgX-Q","slug":"backpropagation","title":"Backpropagation"},{"__typename":"TemplateGlossaryRecord","id":"LzNLbNSdS1-B87RqVLqMCA","slug":"bayesian-machine-learning","title":"Bayesian Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"HlrejLeKRwiCN3FBtnimxw","slug":"bias-variance-tradeoff","title":"Bias-Variance Tradeoff"},{"__typename":"TemplateGlossaryRecord","id":"Wi-TdYmBRYyYTRyHsqYqiw","slug":"binary-classification-ai","title":"Binary Classification AI"},{"__typename":"TemplateGlossaryRecord","id":"YtOvqTUxRNeSonwiq1Qe3g","slug":"chatbots","title":"Chatbots"},{"__typename":"TemplateGlossaryRecord","id":"RspSxK-WS-GLIaDlO-2fBQ","slug":"clustering","title":"Clustering in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"E6dC-4F4Rq-7JzLu7QS0qQ","slug":"composite-ai","title":"Composite AI"},{"__typename":"TemplateGlossaryRecord","id":"GhYWQZX0TcmqQOCAY0kVdw","slug":"confirmation-bias","title":"Confirmation Bias in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"PFn959jeRHi43kR4-OEu9A","slug":"conversational-ai","title":"Conversational AI"},{"__typename":"TemplateGlossaryRecord","id":"Jl6QF3CMRhKI7Y6rnVdUig","slug":"convolutional-neural-networks","title":"Convolutional Neural Networks"},{"__typename":"TemplateGlossaryRecord","id":"IxPUqg2BRHa01pzCWtjp_w","slug":"counterfactual-explanations-in-ai","title":"Counterfactual Explanations in AI"},{"__typename":"TemplateGlossaryRecord","id":"dD8W5uB-QH-E0AuNdsc0pg","slug":"curse-of-dimensionality","title":"Curse of Dimensionality"},{"__typename":"TemplateGlossaryRecord","id":"GROZREZFRSuobDcgNEn7Mw","slug":"data-labeling","title":"Data Labeling"},{"__typename":"TemplateGlossaryRecord","id":"204194109","slug":"deep-learning","title":"Deep Learning"},{"__typename":"TemplateGlossaryRecord","id":"J09UGN3oQ0inO1-Io2uJYA","slug":"deep-reinforcement-learning","title":"Deep Reinforcement Learning"},{"__typename":"TemplateGlossaryRecord","id":"SIaAIL6_QjGUSzjacijueQ","slug":"differential-privacy","title":"Differential Privacy"},{"__typename":"TemplateGlossaryRecord","id":"J6pcWC34TBaLg86zN-9BBQ","slug":"dimensionality-reduction","title":"Dimensionality Reduction"},{"__typename":"TemplateGlossaryRecord","id":"UzwQBrVwQQmciFyqPW-bpA","slug":"embedding-layer","title":"Embedding Layer"},{"__typename":"TemplateGlossaryRecord","id":"QHupfbQ-Rc6xQEalKOfOqg","slug":"emergent-behavior","title":"Emergent Behavior"},{"__typename":"TemplateGlossaryRecord","id":"OvuxKpooSLuJXgMy6ZQB5w","slug":"entropy","title":"Entropy in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"WEPEpGkLRtmGyxgv63QnHg","slug":"ethical-ai","title":"Ethical AI"},{"__typename":"TemplateGlossaryRecord","id":"Wchl_TM3SImL6t6J-_CbMQ","slug":"explainable-ai","title":"Explainable AI"},{"__typename":"TemplateGlossaryRecord","id":"NV2OZR6tQwS791iDfbEIfg","slug":"f1-score-machine-learning","title":"F1 Score in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"YIP7v52KSlW0Q9er91VSCQ","slug":"f2-score","title":"F2 Score"},{"__typename":"TemplateGlossaryRecord","id":"bbYq9U7DStm8hVVgslTtwg","slug":"feedforward-neural-network","title":"Feedforward Neural Network"},{"__typename":"TemplateGlossaryRecord","id":"QpraH3YJR_efbTAmTLv5zQ","slug":"fine-tuning-deep-learning","title":"Fine Tuning in Deep Learning"},{"__typename":"TemplateGlossaryRecord","id":"eTo4h3u9QeidxXQSTMMI7w","slug":"gated-recurrent-unit","title":"Gated Recurrent Unit"},{"__typename":"TemplateGlossaryRecord","id":"193486083","slug":"generative-ai","title":"Generative AI"},{"__typename":"TemplateGlossaryRecord","id":"Df-x8aE4Q0OmjPGJLYPsMg","slug":"graph-neural-networks","title":"Graph Neural Networks"},{"__typename":"TemplateGlossaryRecord","id":"TKS21NmSRyuv_KOFNO-jjg","slug":"ground-truth","title":"Ground Truth in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"MUT5y9qEQaGUFmFqzJGAEQ","slug":"hidden-layer","title":"Hidden Layer"},{"__typename":"TemplateGlossaryRecord","id":"CsMTHyPGQPC61MNih5XOaA","slug":"human-augmentation-with-ai","title":"Human Augmentation with AI"},{"__typename":"TemplateGlossaryRecord","id":"aMmj0puQSpaDaEbyJKGehA","slug":"hyperparameter-tuning","title":"Hyperparameter Tuning"},{"__typename":"TemplateGlossaryRecord","id":"IY1xzqWRSmOilW2z3Nw1tg","slug":"intelligent-document-processing","title":"Intelligent Document Processing"},{"__typename":"TemplateGlossaryRecord","id":"179501404","slug":"large-language-model","title":"Large Language Model (LLM)"},{"__typename":"TemplateGlossaryRecord","id":"TCgbbGYSQFSDEGIXssxdUA","slug":"loss-function","title":"Loss Function"},{"__typename":"TemplateGlossaryRecord","id":"189548147","slug":"machine-learning","title":"Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"GAhBmH3kSTCKLHYzURNVeA","slug":"machine-learning-algorithmic-trading","title":"Machine Learning in Algorithmic Trading"},{"__typename":"TemplateGlossaryRecord","id":"eVnfeIt3Q4ucYJx5A2Ldcw","slug":"model-drift","title":"Model Drift"},{"__typename":"TemplateGlossaryRecord","id":"Y-xcAmSnRz6OI33RwhQAUQ","slug":"multimodal-learning","title":"Multimodal Learning"},{"__typename":"TemplateGlossaryRecord","id":"204185243","slug":"natural-language-generation","title":"Natural Language Generation (NLG)"},{"__typename":"TemplateGlossaryRecord","id":"196854814","slug":"natural-language-processing","title":"Natural Language Processing (NLP)"},{"__typename":"TemplateGlossaryRecord","id":"QqSMZX7TTlqdxD0MTIVBtA","slug":"natural-language-querying","title":"Natural Language Querying (NLQ)"},{"__typename":"TemplateGlossaryRecord","id":"204181940","slug":"natural-language-understanding","title":"Natural Language Understanding (NLU)"},{"__typename":"TemplateGlossaryRecord","id":"JZs4T1P0REKPcpkx4_Gitw","slug":"neural-text-to-speech-ntts","title":"Neural Text-to-Speech (NTTS)"},{"__typename":"TemplateGlossaryRecord","id":"bsdgtX4YTFaJKjGvZI4Twg","slug":"neuroevolution","title":"Neuroevolution"},{"__typename":"TemplateGlossaryRecord","id":"RRnHRt9sTNGE-WoMqAUa8w","slug":"objective-function","title":"Objective Function"},{"__typename":"TemplateGlossaryRecord","id":"da6ZCaExSF6u0MQweW724w","slug":"precision-and-recall","title":"Precision and Recall"},{"__typename":"TemplateGlossaryRecord","id":"ROUvlJ9_QRe6gqgUxXp-Mg","slug":"pretraining","title":"Pretraining"},{"__typename":"TemplateGlossaryRecord","id":"bsgRhgQqTj27fUqyrKyzvQ","slug":"recurrent-neural-networks","title":"Recurrent Neural Networks"},{"__typename":"TemplateGlossaryRecord","id":"coNNpVJhSGSsnXP7-m1WIA","slug":"transformers","title":"Transformers"},{"__typename":"TemplateGlossaryRecord","id":"TXpG4TrpSy6ZW_Rgu1x7AQ","slug":"unsupervised-learning","title":"Unsupervised Learning"},{"__typename":"TemplateGlossaryRecord","id":"IP8B-RnqSSmhfyRhhjrZaA","slug":"voice-cloning","title":"Voice Cloning"},{"__typename":"TemplateGlossaryRecord","id":"O3KDxYe6TCyt4zmnaVLEGw","slug":"zero-shot-classification-models","title":"Zero-shot Classification Models"},{"__typename":"TemplateGlossaryRecord","id":"AVnW1zBwR42wdR83yiVNrg","slug":"machine-learning-neuron","title":"Machine Learning Neuron"},{"__typename":"TemplateGlossaryRecord","id":"Mow3q3MERByXSEvg7iFAPQ","slug":"reproducibility-machine-learning","title":"Reproducibility in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"XGs_3uyCS1axtvaWRnBesQ","slug":"semi-supervised-learning","title":"Semi-Supervised Learning"},{"__typename":"TemplateGlossaryRecord","id":"DtebKEzmRiKDy3SVNcxrkA","slug":"supervised-learning","title":"Supervised Learning"},{"__typename":"TemplateGlossaryRecord","id":"HJRZVC7MQX2dOw1fXF7f_g","slug":"uncertainty-machine-learning","title":"Uncertainty in Machine Learning"}]},{"__typename":"TemplateGlossaryRecord","id":"ScIrfkHQRaeshfzot1ZsSQ","slug":"datasets","title":"Datasets","categoryPage":true,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"bWr6vjAfRiyYRhdav3e-Xg","slug":"ai-and-big-data","title":"AI and Big Data"},{"__typename":"TemplateGlossaryRecord","id":"XLNcEgHTSmC4oMSeUk5ynQ","slug":"common-crawl-datasets","title":"Common Crawl Datasets"},{"__typename":"TemplateGlossaryRecord","id":"Na4AC0wGTe6UWz0M6QBtKw","slug":"corpus","title":"Corpus in NLP"},{"__typename":"TemplateGlossaryRecord","id":"djkv2sOZSPC96rbls7TplQ","slug":"data-drift","title":"Data Drift"},{"__typename":"TemplateGlossaryRecord","id":"N6DYSMpiRvK75Lf47h79lg","slug":"data-poisoning","title":"Data Poisoning"},{"__typename":"TemplateGlossaryRecord","id":"ILU6a__IQLGWCNd2B3zMBw","slug":"data-scarcity","title":"Data Scarcity"},{"__typename":"TemplateGlossaryRecord","id":"LQhC2qC8Q7-hlPo-BsYZng","slug":"ego-4d","title":"Ego 4D"},{"__typename":"TemplateGlossaryRecord","id":"Xw53sUjFT1ehPCN3B7g4Ug","slug":"imagenet","title":"ImageNet"},{"__typename":"TemplateGlossaryRecord","id":"T8dw41urTm2lX38LRX3f0g","slug":"squad","title":"SQuAD"},{"__typename":"TemplateGlossaryRecord","id":"ElS6bW2uRdeFoqwMVALAfQ","slug":"the-pile","title":"The Pile"},{"__typename":"TemplateGlossaryRecord","id":"UYwBH037S2SSzHyl8asKKg","slug":"imbalanced-data","title":"Imbalanced Data"},{"__typename":"TemplateGlossaryRecord","id":"PIRh4fajTvO1i_deZX89EQ","slug":"machine-learning-bias","title":"Machine Learning Bias"},{"__typename":"TemplateGlossaryRecord","id":"WL10qNRJQNijDCMZFT7xPw","slug":"synthetic-data-for-ai-training","title":"Synthetic Data for AI Training"},{"__typename":"TemplateGlossaryRecord","id":"D5HDyrAFRwKjmW9rv9fFxg","slug":"test-data-set","title":"Test Data Set"},{"__typename":"TemplateGlossaryRecord","id":"Ps8_B2-SQ7KZ1PdS3mgDTw","slug":"validation-data-set","title":"Validation Data Set"}]},{"__typename":"TemplateGlossaryRecord","id":"179504024","slug":"techniques","title":"Techniques","categoryPage":true,"subcategoryPages":[{"__typename":"TemplateGlossaryRecord","id":"RNbMdcWVSrqcKf3OruQV5g","slug":"acoustic-models","title":"Acoustic Models"},{"__typename":"TemplateGlossaryRecord","id":"did2w7TuR52aO8zNSMiF4w","slug":"activation-functions","title":"Activation Functions"},{"__typename":"TemplateGlossaryRecord","id":"VP89Glk6S9SPA8h_ugUTqw","slug":"adagrad","title":"AdaGrad"},{"__typename":"TemplateGlossaryRecord","id":"LLPiokRWR0On-xhJDPom7g","slug":"ai-alignment","title":"AI Alignment"},{"__typename":"TemplateGlossaryRecord","id":"J99w1jVRTI2FIQErp7QS2w","slug":"ai-emotion-recognition","title":"AI Emotion Recognition"},{"__typename":"TemplateGlossaryRecord","id":"UDIGQaPaQx-2VpSzmj4awg","slug":"ai-guardrails","title":"AI Guardrails"},{"__typename":"TemplateGlossaryRecord","id":"Nf3cikfERL-b4l5j4YbSew","slug":"ai-speech-enhancement","title":"AI Speech Enhancement"},{"__typename":"TemplateGlossaryRecord","id":"K2z_AI0MT6OvigK44d203Q","slug":"articulatory-synthesis","title":"Articulatory Synthesis"},{"__typename":"TemplateGlossaryRecord","id":"VLprW2bOSPKJUXBm55EGjw","slug":"association-rule-learning","title":"Association Rule Learning"},{"__typename":"TemplateGlossaryRecord","id":"NxZwKfHFT2K5HMp9hlrKrQ","slug":"attention-mechanisms","title":"Attention Mechanisms"},{"__typename":"TemplateGlossaryRecord","id":"Envc7lrAShW166DAHcb6dg","slug":"augmented-intelligence","title":"Augmented Intelligence"},{"__typename":"TemplateGlossaryRecord","id":"FyMdx055Q_e9ErX2RQLGmA","slug":"auto-classification","title":"Auto Classification"},{"__typename":"TemplateGlossaryRecord","id":"OsC6N0gDQTOM6B9QpksS6w","slug":"autoencoder","title":"Autoencoder"},{"__typename":"TemplateGlossaryRecord","id":"UV7ueNkBQoKSzsHJIzI-vA","slug":"autoregressive-model","title":"Autoregressive Model"},{"__typename":"TemplateGlossaryRecord","id":"AN34UHpCQ-SCcrLIE7CZFg","slug":"batch-gradient-descent","title":"Batch Gradient Descent"},{"__typename":"TemplateGlossaryRecord","id":"eAyTpP2UQDeghAsKepHMTg","slug":"beam-search-algorithm","title":"Beam Search Algorithm"},{"__typename":"TemplateGlossaryRecord","id":"H_By1IlSQfG-DsU3-bc3TQ","slug":"benchmarking","title":"Benchmarking"},{"__typename":"TemplateGlossaryRecord","id":"V8cVg7zuRIuy897iCY6hRg","slug":"boosting","title":"Boosting in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"a99-zGutTuiLoNNniR_S0g","slug":"candidate-sampling","title":"Candidate Sampling"},{"__typename":"TemplateGlossaryRecord","id":"Opv9L-85QNe3wx9tfXWOzA","slug":"capsule-neural-network","title":"Capsule Neural Network"},{"__typename":"TemplateGlossaryRecord","id":"ADZLzxiUSJG0PkZtkL587w","slug":"causal-inference","title":"Causal Inference"},{"__typename":"TemplateGlossaryRecord","id":"201154211","slug":"classification","title":"Classification"},{"__typename":"TemplateGlossaryRecord","id":"XvasOHc7SHmJB-_vKfIe1w","slug":"clustering-algorithms","title":"Clustering Algorithms"},{"__typename":"TemplateGlossaryRecord","id":"eY7M5ZYzR0WjEfc9JRQQHA","slug":"cognitive-computing","title":"Cognitive Computing"},{"__typename":"TemplateGlossaryRecord","id":"YTEHgG0TRDSDTIRpMlsabg","slug":"cognitive-map","title":"Cognitive Map"},{"__typename":"TemplateGlossaryRecord","id":"UpRYEVINQRKU1DN01wIp_g","slug":"collaborative-filtering","title":"Collaborative Filtering"},{"__typename":"TemplateGlossaryRecord","id":"T5ZlQ9RMQTmHBJVXt9sw3g","slug":"computational-creativity","title":"Computational Creativity"},{"__typename":"TemplateGlossaryRecord","id":"dSnVFqQhTCm3InNh_1TDPg","slug":"computational-lingustics","title":"Computational Linguistics"},{"__typename":"TemplateGlossaryRecord","id":"UaRPpZkvSASBVTkv4NaeTw","slug":"computational-phenotyping","title":"Computational Phenotyping"},{"__typename":"TemplateGlossaryRecord","id":"KilaRheZSf69Dj2EDxsJYw","slug":"computational-semantics","title":"Computational Semantics"},{"__typename":"TemplateGlossaryRecord","id":"cdQSdxdFTWeX9vKqKwD4OQ","slug":"conditional-variational-autoencoders","title":"Conditional Variational Autoencoders"},{"__typename":"TemplateGlossaryRecord","id":"J8JwdUaRTS2EUQIHvhiATQ","slug":"concatenative-synthesis","title":"Concatenative Synthesis"},{"__typename":"TemplateGlossaryRecord","id":"HN35MvNlTrmltLsdT_zpXA","slug":"confidence-intervals","title":"Confidence Intervals in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"Si8hHQxESpiNyBV1K2AKkg","slug":"context-aware-computing","title":"Context-Aware Computing"},{"__typename":"TemplateGlossaryRecord","id":"anVwY3gpSEKOfpcTQBNFQQ","slug":"contrastive-learning","title":"Contrastive Learning"},{"__typename":"TemplateGlossaryRecord","id":"bypGf-H5S6aZlGD__WoqdA","slug":"cross-validation","title":"Cross Validation in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"bknejGlbSOaJOluJXHjs9Q","slug":"cure-algorithm","title":"CURE Algorithm"},{"__typename":"TemplateGlossaryRecord","id":"dqZPpznbTWezvIgOESYP4Q","slug":"data-augmentation","title":"Data Augmentation"},{"__typename":"TemplateGlossaryRecord","id":"djkv2sOZSPC96rbls7TplQ","slug":"data-drift","title":"Data Drift"},{"__typename":"TemplateGlossaryRecord","id":"MCFPFQseS_y8K1gVze0JDA","slug":"decision-intelligence","title":"Decision Intelligence"},{"__typename":"TemplateGlossaryRecord","id":"bpi2w_7XR1eaedHHgFpUaw","slug":"decision-tree","title":"Decision Tree"},{"__typename":"TemplateGlossaryRecord","id":"KJHvAssyQRWFA7AbfFCvVA","slug":"deepfake-detection","title":"Deepfake Detection"},{"__typename":"TemplateGlossaryRecord","id":"CWO413KDSZKI8dOLtsvPEw","slug":"diffusion","title":"Diffusion"},{"__typename":"TemplateGlossaryRecord","id":"dycOiN0QSDyj6NcHcwo4tg","slug":"domain-adaptation","title":"Domain Adaptation"},{"__typename":"TemplateGlossaryRecord","id":"aYvqoTJARsSeQDnXWfTMdQ","slug":"double-descent","title":"Double Descent"},{"__typename":"TemplateGlossaryRecord","id":"Z3POln6ATjW56JLnuZvRLg","slug":"end-to-end-learning","title":"End-to-end Learning"},{"__typename":"TemplateGlossaryRecord","id":"dqQhqjIVQDKtgGhTTQvYBg","slug":"ensemble-learning","title":"Ensemble Learning"},{"__typename":"TemplateGlossaryRecord","id":"GjCZ1evIQUyTcKde6FPp-Q","slug":"epoch","title":"Epoch in Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"ASSqPmGFQ7iEYAFPfOMEWg","slug":"evolutionary-algorithms","title":"Evolutionary Algorithms"},{"__typename":"TemplateGlossaryRecord","id":"K8LrvWCuQY2QnCn9T75wEA","slug":"expectation-maximization","title":"Expectation Maximization"},{"__typename":"TemplateGlossaryRecord","id":"e6toYRdqT9G-besulUbEgg","slug":"feature-learning","title":"Feature Learning"},{"__typename":"TemplateGlossaryRecord","id":"SAg9jkg9QtmMn58Fzg5h5g","slug":"feature-selection","title":"Feature Selection"},{"__typename":"TemplateGlossaryRecord","id":"Hq1uPk3RTXi_xGUDQNEGdg","slug":"feature-store-for-machine-learning","title":"Feature Store for Machine Learning"},{"__typename":"TemplateGlossaryRecord","id":"f5GJ61A4TQSGuq_74J_bTw","slug":"federated-learning","title":"Federated Learning"},{"__typename":"TemplateGlossaryRecord","id":"dP0aPxbZS-OXhkywJGa0ZA","slug":"few-shot-learning","title":"Few Shot Learning"},{"__typename":"TemplateGlossaryRecord","id":"bUhMO54NRu2JGH-E5U916g","slug":"flajolet-martin-algorithm","title":"Flajolet-Martin Algorithm"},{"__typename":"TemplateGlossaryRecord","id":"eVSdLSPMT_atnAP7ts5Jyg","slug":"forward-propagation","title":"Forward Propagation"},{"__typename":"TemplateGlossaryRecord","id":"B1viOgUGQvCVT-q5oxhxEw","slug":"gaussian-processes","title":"Gaussian Processes"},{"__typename":"TemplateGlossaryRecord","id":"XIY2ST27QQKF3YEBXH0_dQ","slug":"generative-adversarial-networks","title":"Generative Adversarial Networks (GANs)"},{"__typename":"TemplateGlossaryRecord","id":"HJAaY3WwTKiV2U3TQKRgmQ","slug":"genetic-algorithms","title":"Genetic Algorithms in AI"},{"__typename":"TemplateGlossaryRecord","id":"GY_NlpL3SXe7o-SCAIM4JQ","slug":"gradient-boosting-machines","title":"Gradient Boosting Machines (GBMs)"},{"__typename":"TemplateGlossaryRecord","id":"Bgtr26F0Q6mK1IScrMNuSA","slug":"gradient-clipping","title":"Gradient Clipping"},{"__typename":"TemplateGlossaryRecord","id":"cAfXc4ZdScKxdEoktJQW2Q","slug":"gradient-scaling","title":"Gradient Scaling"},{"__typename":"TemplateGlossaryRecord","id":"FhMqdnNVTgSsZnzE_QyaXg","slug":"grapheme-to-phoneme-conversion-g2p","title":"Grapheme-to-Phoneme Conversion (G2P)"},{"__typename":"TemplateGlossaryRecord","id":"Ct0y106HT_uqFeUdObd_WA","slug":"grounding","title":"Grounding"},{"__typename":"TemplateGlossaryRecord","id":"amz_5eAWTCiRyZBEOjWmNQ","slug":"human-in-the-loop-ai","title":"Human-in-the-Loop AI"},{"__typename":"TemplateGlossaryRecord","id":"D-LYCqHVTn6Dm961FZrYGQ","slug":"hyperparameters","title":"Hyperparameters"},{"__typename":"TemplateGlossaryRecord","id":"PQucdiNqS7OYX2Ivcj6e2w","slug":"homograph-disambiguation","title":"Homograph Disambiguation"},{"__typename":"TemplateGlossaryRecord","id":"Gfb3nOSfRg6P2U3d1I6p3A","slug":"hooke-jeeves-algorithm","title":"Hooke-Jeeves Algorithm"},{"__typename":"TemplateGlossaryRecord","id":"MGAfPqimSDGY4KAmB7v0ZA","slug":"hybrid-ai","title":"Hybrid AI"},{"__typename":"TemplateGlossaryRecord","id":"OdT4513VRQC41V3LQx0MZQ","slug":"image-recognition","title":"Image Recognition"},{"__typename":"TemplateGlossaryRecord","id":"Hv-DeyAlQMKlpK6KkzDMxg","slug":"incremental-learning","title":"Incremental Learning"},{"__typename":"TemplateGlossaryRecord","id":"eRn64OMzRaqRAcgwur_5FA","slug":"inductive-bias","title":"Inductive Bias"},{"__typename":"TemplateGlossaryRecord","id":"cUsg9qJNTeyCD3cBXjELlA","slug":"information-retrieval","title":"Information Retrieval"},{"__typename":"TemplateGlossaryRecord","id":"AaHBVH64RRGx28mUJwHVsg","slug":"instruction-tuning","title":"Instruction Tuning"},{"__typename":"TemplateGlossaryRecord","id":"BLfo9azwSZiRgZRLBIaPbQ","slug":"keyphrase-extraction","title":"Keyphrase Extraction"},{"__typename":"TemplateGlossaryRecord","id":"YWsS9I_pSNiy04nCCatw-w","slug":"knowledge-distillation","title":"Knowledge Distillation"},{"__typename":"TemplateGlossaryRecord","id":"OQeDGhH3QjWEv9sflj_xeA","slug":"knowledge-representation-and-reasoning","title":"Knowledge Representation and Reasoning"},{"__typename":"TemplateGlossaryRecord","id":"aFsAzepwRj6zqnZSAJH1mw","slug":"k-shingles","title":"k-Shingles"},{"__typename":"TemplateGlossaryRecord","id":"204498515","slug":"latent-dirichlet-allocation","title":"Latent Dirichlet Allocation (LDA)"},{"__typename":"TemplateGlossaryRecord","id":"H7_UxF2GQcS3OdYaVWXYCQ","slug":"learning-to-rank","title":"Learning To Rank"},{"__typename":"TemplateGlossaryRecord","id":"G3DZAKTMSxesJPr1f_45mw","slug":"learning-rate","title":"Learning Rate"},{"__typename":"TemplateGlossaryRecord","id":"YSi6nrTjQSKA9ITSmo59fg","slug":"logits","title":"Logits"},{"__typename":"TemplateGlossaryRecord","id":"fjteG4aVQFqm_G8KHWzb8g","slug":"machine-learning-life-cycle-management","title":"Machine Learning Life Cycle Management"},{"__typename":"TemplateGlossaryRecord","id":"D6dE93pOShG0i8q-XoAq0Q","slug":"machine-learning-preprocessing","title":"Machine Learning Preprocessing"},{"__typename":"TemplateGlossaryRecord","id":"SBzkPEPMQleo9nGar6F3PA","slug":"machine-translation","title":"Machine Translation"},{"__typename":"TemplateGlossaryRecord","id":"cuMignyiT_ONO13aXQXtdA","slug":"Markov-decision-process","title":"Markov Decision Process"},{"__typename":"TemplateGlossaryRecord","id":"cG8t-bl7SwC5yUqGTzbxQg","slug":"metaheuristic-algorithms","title":"Metaheuristic Algorithms"},{"__typename":"TemplateGlossaryRecord","id":"R_L-Xd7tQvS_zorXY69NJg","slug":"mixture-of-experts","title":"Mixture of Experts"},{"__typename":"TemplateGlossaryRecord","id":"OJR0The7S7-G2DBMKqiBcA","slug":"model-interpretability","title":"Model Interpretability"},{"__typename":"TemplateGlossaryRecord","id":"GDyJaKwGTvWs8dnL19poFg","slug":"monte-carlo-learning","title":"Monte Carlo Learning"},{"__typename":"TemplateGlossaryRecord","id":"RiEs8bA9TGSG-BOtFRXvWQ","slug":"multimodal-ai","title":"Multimodal AI"},{"__typename":"TemplateGlossaryRecord","id":"Mlhnr6sKTfSbtt7fTImfdA","slug":"multi-task-learning","title":"Multi-task Learning"},{"__typename":"TemplateGlossaryRecord","id":"eXLVIkhJSmedxyZ9vmR9Gw","slug":"multitask-prompt-tuning","title":"Multitask Prompt Tuning"},{"__typename":"TemplateGlossaryRecord","id":"dKeiY6PmT4KVE5lvCp6miA","slug":"naive-bayes-classifier","title":"Naive Bayes Classifier"},{"__typename":"TemplateGlossaryRecord","id":"YtsbmwnfSsCbahsWApihuw","slug":"named-entity-recognition","title":"Named Entity Recognition"},{"__typename":"TemplateGlossaryRecord","id":"QH9h3a6QTnKker2dUj4z0w","slug":"neural-radiance-fields","title":"Neural Radiance Fields"},{"__typename":"TemplateGlossaryRecord","id":"dV8RqLd8SayHZIqV7j8PdA","slug":"neural-style-transfer","title":"Neural Style Transfer"},{"__typename":"TemplateGlossaryRecord","id":"JZs4T1P0REKPcpkx4_Gitw","slug":"neural-text-to-speech-ntts","title":"Neural Text-to-Speech (NTTS)"},{"__typename":"TemplateGlossaryRecord","id":"c3Q9CeZASWa79egD9x_71A","slug":"one-shot-learning","title":"One-Shot Learning"},{"__typename":"TemplateGlossaryRecord","id":"ciaa-zOITFyvTAGVD-ia9w","slug":"online-gradient-descent","title":"Online Gradient Descent"},{"__typename":"TemplateGlossaryRecord","id":"B3f_l73DSpmy5tg1_9N3DQ","slug":"out-of-distribution-detection","title":"Out-of-Distribution Detection"},{"__typename":"TemplateGlossaryRecord","id":"204501164","slug":"overfitting-underfitting","title":"Overfitting and Underfitting"},{"__typename":"TemplateGlossaryRecord","id":"BWk3SWIrThq-6nI6cUh0sw","slug":"parametric-neural-networks ","title":"Parametric Neural Networks "},{"__typename":"TemplateGlossaryRecord","id":"U7mENdU9RFGTlVIzYYkCJg","slug":"part-of-speech-tagging","title":"Part-of-Speech Tagging"},{"__typename":"TemplateGlossaryRecord","id":"Ws2s-85hSbW6JFHK8eHIIA","slug":"pooling-machine-learning","title":"Pooling (Machine Learning)"},{"__typename":"TemplateGlossaryRecord","id":"H11P4VvmT8-2GoJ522uwLQ","slug":"principal-component-analysis","title":"Principal Component Analysis"},{"__typename":"TemplateGlossaryRecord","id":"bfA-Z_QhSi20w55S_OZMLQ","slug":"prompt-chaining","title":"Prompt Chaining"},{"__typename":"TemplateGlossaryRecord","id":"eEBoAT66TKKBbT1v8MK2BQ","slug":"prompt-engineering","title":"Prompt Engineering"},{"__typename":"TemplateGlossaryRecord","id":"ee41ywakRoe-dwgpxZcEAg","slug":"prompt-tuning","title":"Prompt Tuning"},{"__typename":"TemplateGlossaryRecord","id":"AgyNOlIEQhiQU1ZG4srwOw","slug":"quantum-machine-learning-algorithms","title":"Quantum Machine Learning Algorithms"},{"__typename":"TemplateGlossaryRecord","id":"PtvAXIWyT9qm7Juc1bsBbQ","slug":"random-forest","title":"Random Forest"},{"__typename":"TemplateGlossaryRecord","id":"TDTUh3VGRoe6WWav2AX1Cg","slug":"rectified-linear-unit-relu","title":"Rectified Linear Unit (ReLU)"},{"__typename":"TemplateGlossaryRecord","id":"XzofqfPCReyEFu82Ssneqw","slug":"regularization","title":"Regularization"},{"__typename":"TemplateGlossaryRecord","id":"SsDYkicaQb2A_19Q6jIo3A","slug":"representation-learning","title":"Representation Learning"},{"__typename":"TemplateGlossaryRecord","id":"PUEoOL_6TkCILCpzsnTE9A","slug":"restricted-boltzmann-machines","title":"Restricted Boltzmann Machines"},{"__typename":"TemplateGlossaryRecord","id":"a1AhZD4ETCSJYqVrgfGYOw","slug":"retrieval-augmented-generation","title":"Retrieval-Augmented Generation (RAG)"},{"__typename":"TemplateGlossaryRecord","id":"XoZlU4vPR4-mpr6mdmD9sw","slug":"rlhf","title":"RLHF"},{"__typename":"TemplateGlossaryRecord","id":"Y4omj5MiQZ6PK5COi76Bsg","slug":"semantic-search-algorithms","title":"Semantic Search Algorithms"},{"__typename":"TemplateGlossaryRecord","id":"EOGu3fmjSFmFoqevmpoD5w","slug":"semi-structured-data","title":"Semi-structured data"},{"__typename":"TemplateGlossaryRecord","id":"A2u56tqFR8CBqoEjOnSmFw","slug":"sentiment-analysis","title":"Sentiment Analysis"},{"__typename":"TemplateGlossaryRecord","id":"JeAWB1vOQf-CIpxc4MFAtw","slug":"sequence-modeling","title":"Sequence Modeling"},{"__typename":"TemplateGlossaryRecord","id":"Zj8ZRvyiR1efrB8cPmfGWQ","slug":"semantic-kernel","title":"Semantic Kernel"},{"__typename":"TemplateGlossaryRecord","id":"ctsfEkkATiG0buhIjmuo7g","slug":"semantic-networks","title":"Semantic Networks"},{"__typename":"TemplateGlossaryRecord","id":"QKPA_KAQRQGdiTmaAS4rgQ","slug":"spike-neural-networks","title":"Spike Neural Networks"},{"__typename":"TemplateGlossaryRecord","id":"IIvVnpgKQrqxrJqjePB9vg","slug":"statistical-relational-learning","title":"Statistical Relational Learning"},{"__typename":"TemplateGlossaryRecord","id":"VN215wGWRH6mKtdj9Sz8Fw","slug":"symbolic-ai","title":"Symbolic AI"},{"__typename":"TemplateGlossaryRecord","id":"GpF9ed30T3Wg-fDhuJlzLw","slug":"topic-modeling","title":"Topic Modeling"},{"__typename":"TemplateGlossaryRecord","id":"198660383","slug":"tokenization","title":"Tokenization"},{"__typename":"TemplateGlossaryRecord","id":"AQJpAfkTQ-mOCDmTwke9rA","slug":"transfer-learning","title":"Transfer Learning"},{"__typename":"TemplateGlossaryRecord","id":"AAk52eLDSmmHPjOJ40wLCA","slug":"vanishing-and-exploding-gradients","title":"Vanishing and Exploding Gradients"},{"__typename":"TemplateGlossaryRecord","id":"IP8B-RnqSSmhfyRhhjrZaA","slug":"voice-cloning","title":"Voice Cloning"},{"__typename":"TemplateGlossaryRecord","id":"ckM5kgC_QRiHjJmulhy6aA","slug":"winnow-algorithm","title":"Winnow Algorithm"},{"__typename":"TemplateGlossaryRecord","id":"203353199","slug":"word-embeddings","title":"Word Embeddings"}]},{"__typename":"TemplateGlossaryRecord","id":"T6VUq1GCTAmd40u8DOFojg","slug":"ai-lifecycle-management","title":"AI Lifecycle Management","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eMSGlorpS4meip0t8AkSkQ","slug":"ai-literacy","title":"AI Literacy","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"fJ7V10dnT4Wrvr0okP5LeQ","slug":"ai-monitoring","title":"AI Monitoring","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TGa_4809RRSrp1xS6OkP4Q","slug":"ai-oversight","title":"AI Oversight","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"DKl3fOcZS_S0fpQ4EIQBfw","slug":"ai-privacy","title":"AI Privacy","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PcthLNc8Q3OeWAWvQW0RyA","slug":"ai-prototyping","title":"AI Prototyping","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"NIOHQWqxQ7KMgCwZvAwsNA","slug":"ai-regulation","title":"AI Regulation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RD7m0kgFTCeQjDvExxrLkw","slug":"ai-resilience","title":"AI Resilience","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PIRh4fajTvO1i_deZX89EQ","slug":"machine-learning-bias","title":"Machine Learning Bias","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"fjteG4aVQFqm_G8KHWzb8g","slug":"machine-learning-life-cycle-management","title":"Machine Learning Life Cycle Management","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SBzkPEPMQleo9nGar6F3PA","slug":"machine-translation","title":"Machine Translation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"EMhmVbdaSBGpjcLvQJ2Fgw","slug":"mlops","title":"MLOps","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GDyJaKwGTvWs8dnL19poFg","slug":"monte-carlo-learning","title":"Monte Carlo Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Mlhnr6sKTfSbtt7fTImfdA","slug":"multi-task-learning","title":"Multi-task Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dKeiY6PmT4KVE5lvCp6miA","slug":"naive-bayes-classifier","title":"Naive Bayes Classifier","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AVnW1zBwR42wdR83yiVNrg","slug":"machine-learning-neuron","title":"Machine Learning Neuron","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Ws2s-85hSbW6JFHK8eHIIA","slug":"pooling-machine-learning","title":"Pooling (Machine Learning)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"H11P4VvmT8-2GoJ522uwLQ","slug":"principal-component-analysis","title":"Principal Component Analysis","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"D6dE93pOShG0i8q-XoAq0Q","slug":"machine-learning-preprocessing","title":"Machine Learning Preprocessing","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TDTUh3VGRoe6WWav2AX1Cg","slug":"rectified-linear-unit-relu","title":"Rectified Linear Unit (ReLU)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Mow3q3MERByXSEvg7iFAPQ","slug":"reproducibility-machine-learning","title":"Reproducibility in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PUEoOL_6TkCILCpzsnTE9A","slug":"restricted-boltzmann-machines","title":"Restricted Boltzmann Machines","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XGs_3uyCS1axtvaWRnBesQ","slug":"semi-supervised-learning","title":"Semi-Supervised Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"DtebKEzmRiKDy3SVNcxrkA","slug":"supervised-learning","title":"Supervised Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HQ1VAEPHRTO5ublcntg6_A","slug":"support-vector-machines-svm","title":"Support Vector Machines (SVM)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GpF9ed30T3Wg-fDhuJlzLw","slug":"topic-modeling","title":"Topic Modeling","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HJRZVC7MQX2dOw1fXF7f_g","slug":"uncertainty-machine-learning","title":"Uncertainty in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AAk52eLDSmmHPjOJ40wLCA","slug":"vanishing-and-exploding-gradients","title":"Vanishing and Exploding Gradients","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"VN4LHt9RTHyqDYf4NvOkmw","slug":"ai-interpretability","title":"AI Interpretability","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GROZREZFRSuobDcgNEn7Mw","slug":"data-labeling","title":"Data Labeling","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"d-uHZg0MRxK-9YalG92XGg","slug":"inference-engine","title":"Inference Engine","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Ie38xRH6T2K3tMlV8CS5ow","slug":"probabilistic-models-in-machine-learning","title":"Probabilistic Models in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"NV2OZR6tQwS791iDfbEIfg","slug":"f1-score-machine-learning","title":"F1 Score in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"K8LrvWCuQY2QnCn9T75wEA","slug":"expectation-maximization","title":"Expectation Maximization","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eAyTpP2UQDeghAsKepHMTg","slug":"beam-search-algorithm","title":"Beam Search Algorithm","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UzwQBrVwQQmciFyqPW-bpA","slug":"embedding-layer","title":"Embedding Layer","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SIaAIL6_QjGUSzjacijueQ","slug":"differential-privacy","title":"Differential Privacy","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"N6DYSMpiRvK75Lf47h79lg","slug":"data-poisoning","title":"Data Poisoning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ADZLzxiUSJG0PkZtkL587w","slug":"causal-inference","title":"Causal Inference","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Opv9L-85QNe3wx9tfXWOzA","slug":"capsule-neural-network","title":"Capsule Neural Network","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"NxZwKfHFT2K5HMp9hlrKrQ","slug":"attention-mechanisms","title":"Attention Mechanisms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dycOiN0QSDyj6NcHcwo4tg","slug":"domain-adaptation","title":"Domain Adaptation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ASSqPmGFQ7iEYAFPfOMEWg","slug":"evolutionary-algorithms","title":"Evolutionary Algorithms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"anVwY3gpSEKOfpcTQBNFQQ","slug":"contrastive-learning","title":"Contrastive Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Wchl_TM3SImL6t6J-_CbMQ","slug":"explainable-ai","title":"Explainable AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Zmxx7FnnSkiQ9bKUGonE2Q","slug":"affective-ai","title":"Affective AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ctsfEkkATiG0buhIjmuo7g","slug":"semantic-networks","title":"Semantic Networks","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dqZPpznbTWezvIgOESYP4Q","slug":"data-augmentation","title":"Data Augmentation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Jl6QF3CMRhKI7Y6rnVdUig","slug":"convolutional-neural-networks","title":"Convolutional Neural Networks","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eY7M5ZYzR0WjEfc9JRQQHA","slug":"cognitive-computing","title":"Cognitive Computing","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Z3POln6ATjW56JLnuZvRLg","slug":"end-to-end-learning","title":"End-to-end Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ee41ywakRoe-dwgpxZcEAg","slug":"prompt-tuning","title":"Prompt Tuning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"aYvqoTJARsSeQDnXWfTMdQ","slug":"double-descent","title":"Double Descent","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eVnfeIt3Q4ucYJx5A2Ldcw","slug":"model-drift","title":"Model Drift","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"QH9h3a6QTnKker2dUj4z0w","slug":"neural-radiance-fields","title":"Neural Radiance Fields","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XzofqfPCReyEFu82Ssneqw","slug":"regularization","title":"Regularization","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"QqSMZX7TTlqdxD0MTIVBtA","slug":"natural-language-querying","title":"Natural Language Querying (NLQ)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"FktTmuaPSWGeV23tYub3mQ","slug":"foundation-models","title":"Foundation Models","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eVSdLSPMT_atnAP7ts5Jyg","slug":"forward-propagation","title":"Forward Propagation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YIP7v52KSlW0Q9er91VSCQ","slug":"f2-score","title":"F2 Score","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UjwASJbQThOOh41ARdUwOw","slug":"ai-ethics","title":"AI Ethics","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AQJpAfkTQ-mOCDmTwke9rA","slug":"transfer-learning","title":"Transfer Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"LLPiokRWR0On-xhJDPom7g","slug":"ai-alignment","title":"AI Alignment","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AOXPWCaFRgqdphjufJoYhg","slug":"whisper-v3","title":"Whisper v3","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"LRghvBpcTwagUqAbeLAFsg","slug":"whisper-v2","title":"Whisper v2","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"EOGu3fmjSFmFoqevmpoD5w","slug":"semi-structured-data","title":"Semi-structured data","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"BN_T-lcrSCmoHPvJbHgSDw","slug":"ai-hallucinations","title":"AI Hallucinations","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"QHupfbQ-Rc6xQEalKOfOqg","slug":"emergent-behavior","title":"Emergent Behavior","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"B2S-5EFhT_26N0JjAkcPkw","slug":"matplotlib","title":"Matplotlib","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SB7_tiA2T_WA37ZWcghhgg","slug":"numpy","title":"NumPy","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"NDstK_b8TomZhW8-uopSiw","slug":"scikit-learn","title":"Scikit-learn","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"EU98-1F-Sx6VbNX1j_9Z7Q","slug":"scipy","title":"SciPy","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HQWyc2QLRIilSSbIkjNWvg","slug":"keras","title":"Keras","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"D5RriTrYRhqMwTlRNBaftg","slug":"tensorflow","title":"TensorFlow","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TXLwZn3NQNKWoCIvc32fTA","slug":"seaborn-python-package","title":"Seaborn Python Package","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Mm78GVtMSR24McvzwF9SNQ","slug":"pytorch","title":"PyTorch","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"R_slYv1KTMqHYl9q0b5AaA","slug":"natural-language-toolkit-nltk","title":"Natural Language Toolkit (NLTK)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"F1QXydL0Qby7lPkUx0mfZQ","slug":"pandas","title":"Pandas","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"LQhC2qC8Q7-hlPo-BsYZng","slug":"ego-4d","title":"Ego 4D","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ElS6bW2uRdeFoqwMVALAfQ","slug":"the-pile","title":"The Pile","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XLNcEgHTSmC4oMSeUk5ynQ","slug":"common-crawl-datasets","title":"Common Crawl Datasets","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"T8dw41urTm2lX38LRX3f0g","slug":"squad","title":"SQuAD","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"IY1xzqWRSmOilW2z3Nw1tg","slug":"intelligent-document-processing","title":"Intelligent Document Processing","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"aMmj0puQSpaDaEbyJKGehA","slug":"hyperparameter-tuning","title":"Hyperparameter Tuning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"cuMignyiT_ONO13aXQXtdA","slug":"Markov-decision-process","title":"Markov Decision Process","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Df-x8aE4Q0OmjPGJLYPsMg","slug":"graph-neural-networks","title":"Graph Neural Networks","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"F2D60olxQlG1FomfE2BEYA","slug":"neural-architecture-search","title":"Neural Architecture Search","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"B7YBdzqtQ9Sm9U7QTkTiag","slug":"ablation","title":"Ablation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YWsS9I_pSNiy04nCCatw-w","slug":"knowledge-distillation","title":"Knowledge Distillation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OJR0The7S7-G2DBMKqiBcA","slug":"model-interpretability","title":"Model Interpretability","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"B3f_l73DSpmy5tg1_9N3DQ","slug":"out-of-distribution-detection","title":"Out-of-Distribution Detection","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bsgRhgQqTj27fUqyrKyzvQ","slug":"recurrent-neural-networks","title":"Recurrent Neural Networks","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ZANDcjQRSvS6ms800J3elQ","slug":"active-learning","title":"Active Learning (Machine Learning)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UYwBH037S2SSzHyl8asKKg","slug":"imbalanced-data","title":"Imbalanced Data","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TCgbbGYSQFSDEGIXssxdUA","slug":"loss-function","title":"Loss Function","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TXpG4TrpSy6ZW_Rgu1x7AQ","slug":"unsupervised-learning","title":"Unsupervised Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bWr6vjAfRiyYRhdav3e-Xg","slug":"ai-and-big-data","title":"AI and Big Data","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"VP89Glk6S9SPA8h_ugUTqw","slug":"adagrad","title":"AdaGrad","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"XvasOHc7SHmJB-_vKfIe1w","slug":"clustering-algorithms","title":"Clustering Algorithms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"BWk3SWIrThq-6nI6cUh0sw","slug":"parametric-neural-networks ","title":"Parametric Neural Networks ","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RNbMdcWVSrqcKf3OruQV5g","slug":"acoustic-models","title":"Acoustic Models","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"K2z_AI0MT6OvigK44d203Q","slug":"articulatory-synthesis","title":"Articulatory Synthesis","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"J8JwdUaRTS2EUQIHvhiATQ","slug":"concatenative-synthesis","title":"Concatenative Synthesis","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"FhMqdnNVTgSsZnzE_QyaXg","slug":"grapheme-to-phoneme-conversion-g2p","title":"Grapheme-to-Phoneme Conversion (G2P)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PQucdiNqS7OYX2Ivcj6e2w","slug":"homograph-disambiguation","title":"Homograph Disambiguation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"JZs4T1P0REKPcpkx4_Gitw","slug":"neural-text-to-speech-ntts","title":"Neural Text-to-Speech (NTTS)","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"IP8B-RnqSSmhfyRhhjrZaA","slug":"voice-cloning","title":"Voice Cloning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UV7ueNkBQoKSzsHJIzI-vA","slug":"autoregressive-model","title":"Autoregressive Model","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"a99-zGutTuiLoNNniR_S0g","slug":"candidate-sampling","title":"Candidate Sampling","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GAhBmH3kSTCKLHYzURNVeA","slug":"machine-learning-algorithmic-trading","title":"Machine Learning in Algorithmic Trading","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"T5ZlQ9RMQTmHBJVXt9sw3g","slug":"computational-creativity","title":"Computational Creativity","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Si8hHQxESpiNyBV1K2AKkg","slug":"context-aware-computing","title":"Context-Aware Computing","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"J99w1jVRTI2FIQErp7QS2w","slug":"ai-emotion-recognition","title":"AI Emotion Recognition","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OQeDGhH3QjWEv9sflj_xeA","slug":"knowledge-representation-and-reasoning","title":"Knowledge Representation and Reasoning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YqRod7TPRY6Z5-JReTgVFg","slug":"metacognitive-learning-models ","title":"Metacognitive Learning Models ","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"WL10qNRJQNijDCMZFT7xPw","slug":"synthetic-data-for-ai-training","title":"Synthetic Data for AI Training","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Nf3cikfERL-b4l5j4YbSew","slug":"ai-speech-enhancement","title":"AI Speech Enhancement","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"IxPUqg2BRHa01pzCWtjp_w","slug":"counterfactual-explanations-in-ai","title":"Counterfactual Explanations in AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"JTtsQexWRPqco3HQL_gfIg","slug":"eco-friendly-ai","title":"Eco-friendly AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Hq1uPk3RTXi_xGUDQNEGdg","slug":"feature-store-for-machine-learning","title":"Feature Store for Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ZqYCftlkQ5KuxkgThJqduw","slug":"generative-teaching-networks","title":"Generative Teaching Networks","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bJffMNVnS2G2xE3m62Y7JA","slug":"human-centered-ai","title":"Human-centered AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"cG8t-bl7SwC5yUqGTzbxQg","slug":"metaheuristic-algorithms","title":"Metaheuristic Algorithms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"IIvVnpgKQrqxrJqjePB9vg","slug":"statistical-relational-learning","title":"Statistical Relational Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ZFm_Bmb_TRWBBMxh4NrklQ","slug":"cognitive-architectures","title":"Cognitive Architectures","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UaRPpZkvSASBVTkv4NaeTw","slug":"computational-phenotyping","title":"Computational Phenotyping","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ZkxVXXa4TlKsyGkSI24e4g","slug":"continuous-learning-systems","title":"Continuous Learning Systems","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"KJHvAssyQRWFA7AbfFCvVA","slug":"deepfake-detection","title":"Deepfake Detection","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"c3Q9CeZASWa79egD9x_71A","slug":"one-shot-learning","title":"One-Shot Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AgyNOlIEQhiQU1ZG4srwOw","slug":"quantum-machine-learning-algorithms","title":"Quantum Machine Learning Algorithms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"fnOltJOjTfqZYkqGOX1-0g","slug":"self-healing-ai","title":"Self-healing AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Y4omj5MiQZ6PK5COi76Bsg","slug":"semantic-search-algorithms","title":"Semantic Search Algorithms","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dAVzIpZ_R0GWo4JZDM9EZw","slug":"artificial-super-intelligence","title":"Artificial Super Intelligence","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UDIGQaPaQx-2VpSzmj4awg","slug":"ai-guardrails","title":"AI Guardrails","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Dh86zYi1QXC53TibmuALfQ","slug":"limited-memory-ai","title":"Limited Memory AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YtOvqTUxRNeSonwiq1Qe3g","slug":"chatbots","title":"Chatbots","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"CWO413KDSZKI8dOLtsvPEw","slug":"diffusion","title":"Diffusion","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"MUT5y9qEQaGUFmFqzJGAEQ","slug":"hidden-layer","title":"Hidden Layer","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"AaHBVH64RRGx28mUJwHVsg","slug":"instruction-tuning","title":"Instruction Tuning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RRnHRt9sTNGE-WoMqAUa8w","slug":"objective-function","title":"Objective Function","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ROUvlJ9_QRe6gqgUxXp-Mg","slug":"pretraining","title":"Pretraining","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"VN215wGWRH6mKtdj9Sz8Fw","slug":"symbolic-ai","title":"Symbolic AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"FyMdx055Q_e9ErX2RQLGmA","slug":"auto-classification","title":"Auto Classification","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"E6dC-4F4Rq-7JzLu7QS0qQ","slug":"composite-ai","title":"Composite AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dSnVFqQhTCm3InNh_1TDPg","slug":"computational-lingustics","title":"Computational Linguistics","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"KilaRheZSf69Dj2EDxsJYw","slug":"computational-semantics","title":"Computational Semantics","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"djkv2sOZSPC96rbls7TplQ","slug":"data-drift","title":"Data Drift","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YtsbmwnfSsCbahsWApihuw","slug":"named-entity-recognition","title":"Named Entity Recognition","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dP0aPxbZS-OXhkywJGa0ZA","slug":"few-shot-learning","title":"Few Shot Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eXLVIkhJSmedxyZ9vmR9Gw","slug":"multitask-prompt-tuning","title":"Multitask Prompt Tuning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"U7mENdU9RFGTlVIzYYkCJg","slug":"part-of-speech-tagging","title":"Part-of-Speech Tagging","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"PtvAXIWyT9qm7Juc1bsBbQ","slug":"random-forest","title":"Random Forest","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Ps8_B2-SQ7KZ1PdS3mgDTw","slug":"validation-data-set","title":"Validation Data Set","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"D5HDyrAFRwKjmW9rv9fFxg","slug":"test-data-set","title":"Test Data Set","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dV8RqLd8SayHZIqV7j8PdA","slug":"neural-style-transfer","title":"Neural Style Transfer","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Hv-DeyAlQMKlpK6KkzDMxg","slug":"incremental-learning","title":"Incremental Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HlrejLeKRwiCN3FBtnimxw","slug":"bias-variance-tradeoff","title":"Bias-Variance Tradeoff","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RZJyfHpLT4G4jqpIiT1P1w","slug":"multi-agent-systems","title":"Multi-Agent Systems","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bsdgtX4YTFaJKjGvZI4Twg","slug":"neuroevolution","title":"Neuroevolution","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"QKPA_KAQRQGdiTmaAS4rgQ","slug":"spike-neural-networks","title":"Spike Neural Networks","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"f5GJ61A4TQSGuq_74J_bTw","slug":"federated-learning","title":"Federated Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"amz_5eAWTCiRyZBEOjWmNQ","slug":"human-in-the-loop-ai","title":"Human-in-the-Loop AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"VLprW2bOSPKJUXBm55EGjw","slug":"association-rule-learning","title":"Association Rule Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OsC6N0gDQTOM6B9QpksS6w","slug":"autoencoder","title":"Autoencoder","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"UpRYEVINQRKU1DN01wIp_g","slug":"collaborative-filtering","title":"Collaborative Filtering","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"ILU6a__IQLGWCNd2B3zMBw","slug":"data-scarcity","title":"Data Scarcity","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bpi2w_7XR1eaedHHgFpUaw","slug":"decision-tree","title":"Decision Tree","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"dqQhqjIVQDKtgGhTTQvYBg","slug":"ensemble-learning","title":"Ensemble Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OvuxKpooSLuJXgMy6ZQB5w","slug":"entropy","title":"Entropy in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Na4AC0wGTe6UWz0M6QBtKw","slug":"corpus","title":"Corpus in NLP","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GhYWQZX0TcmqQOCAY0kVdw","slug":"confirmation-bias","title":"Confirmation Bias in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HN35MvNlTrmltLsdT_zpXA","slug":"confidence-intervals","title":"Confidence Intervals in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"bypGf-H5S6aZlGD__WoqdA","slug":"cross-validation","title":"Cross Validation in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"CFhAnLbOQ6qZnyGx80X0Ug","slug":"accuracy","title":"Accuracy in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"RspSxK-WS-GLIaDlO-2fBQ","slug":"clustering","title":"Clustering in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"V8cVg7zuRIuy897iCY6hRg","slug":"boosting","title":"Boosting in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"GjCZ1evIQUyTcKde6FPp-Q","slug":"epoch","title":"Epoch in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"e6toYRdqT9G-besulUbEgg","slug":"feature-learning","title":"Feature Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"SAg9jkg9QtmMn58Fzg5h5g","slug":"feature-selection","title":"Feature Selection","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HJAaY3WwTKiV2U3TQKRgmQ","slug":"genetic-algorithms","title":"Genetic Algorithms in AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TKS21NmSRyuv_KOFNO-jjg","slug":"ground-truth","title":"Ground Truth in Machine Learning","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"MGAfPqimSDGY4KAmB7v0ZA","slug":"hybrid-ai","title":"Hybrid AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OiGnuVIoRc2LR9M9yD0Ykw","slug":"ai-detection","title":"AI Detection","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"cUsg9qJNTeyCD3cBXjELlA","slug":"information-retrieval","title":"Information Retrieval","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"HdjrkkKeR3OOirnCxT6JHQ","slug":"ai-robustness","title":"AI Robustness","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"QuaiL-NvTtu1p2N_iJLcqA","slug":"ai-safety","title":"AI Safety","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"C91binFCSd2oumBsCcYkFg","slug":"ai-scalability","title":"AI Scalability","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"TRwNNgKKRcGJhPtFzN5dMw","slug":"ai-simulation","title":"AI Simulation","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Z7NVb91OSB2r1BwHaGNzeg","slug":"ai-standards","title":"AI Standards","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OTog3YGBTJm4JJ6UzmBi_w","slug":"ai-steering","title":"AI Steering","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"JVbUE15KQ4iCkdj-55o5cw","slug":"ai-transparency","title":"AI Transparency","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Envc7lrAShW166DAHcb6dg","slug":"augmented-intelligence","title":"Augmented Intelligence","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"MCFPFQseS_y8K1gVze0JDA","slug":"decision-intelligence","title":"Decision Intelligence","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"WEPEpGkLRtmGyxgv63QnHg","slug":"ethical-ai","title":"Ethical AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"CsMTHyPGQPC61MNih5XOaA","slug":"human-augmentation-with-ai","title":"Human Augmentation with AI","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"OdT4513VRQC41V3LQx0MZQ","slug":"image-recognition","title":"Image Recognition","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"Xw53sUjFT1ehPCN3B7g4Ug","slug":"imagenet","title":"ImageNet","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"eRn64OMzRaqRAcgwur_5FA","slug":"inductive-bias","title":"Inductive Bias","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"G3DZAKTMSxesJPr1f_45mw","slug":"learning-rate","title":"Learning Rate","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"H7_UxF2GQcS3OdYaVWXYCQ","slug":"learning-to-rank","title":"Learning To Rank","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"YSi6nrTjQSKA9ITSmo59fg","slug":"logits","title":"Logits","categoryPage":false,"subcategoryPages":[]},{"__typename":"TemplateGlossaryRecord","id":"179501414","slug":"applications","title":"Applications","categoryPage":true,"subcategoryPages":[]}],"header":{"__typename":"ComponentHeaderRecord","id":"OIxudyjJQhW_2ro39dJRnA","internalName":"New Global Header","logo":{"__typename":"FileField","id":"44299917","title":null,"filename":"logo.svg","size":5660,"alt":null,"url":"https://www.datocms-assets.com/96965/1683539914-logo.svg","width":130,"height":30},"menu":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"LI6HqIUYSwStp10sx3EgoQ","internalName":"Voice Agent API (Updated)","heading":"Voice Agent API","url":"https://deepgram.com/product/voice-agent-api","icon":"","iconFile":{"__typename":"FileField","id":"MOWclMaiQ26vRndwKQwhRg","title":null,"filename":"speech-to-speech.svg","size":5846,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060023-speech-to-speech.svg","width":18,"height":19},"subhead":"For real-time AI Agents","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"JxBNyKsSSR2byLIvOlZmBQ","internalName":"Text to Speech (Updated)","heading":"Text to Speech API","url":"https://deepgram.com/product/text-to-speech","icon":"","iconFile":{"__typename":"FileField","id":"P1_E6vJWS8C2RTEDwGYj-w","title":null,"filename":"text-to-speech.svg","size":3913,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060055-text-to-speech.svg","width":18,"height":18},"subhead":"Responsive, natural-sounding voices","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"VQiwXTwFTt6LH397R6Y_lg","internalName":"Speech to Text (Updated)","heading":"Speech to Text API","url":"https://deepgram.com/product/speech-to-text","icon":"","iconFile":{"__typename":"FileField","id":"dp89gjnSRHeBFd0l1bKGDw","title":null,"filename":"speech-to-text.svg","size":4553,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060077-speech-to-text.svg","width":18,"height":18},"subhead":"Unmatched accuracy, speed \u0026 cost","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"ZpA7F_G4RNC262-TrwHdGQ","internalName":"Audio Intelligence (Updated)","heading":"Audio Intelligence API","url":"https://deepgram.com/product/audio-intelligence","icon":"","iconFile":{"__typename":"FileField","id":"Dn2jdXDdTwSx5Dk_heqetQ","title":null,"filename":"brain-ai.svg","size":4864,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060103-brain-ai.svg","width":18,"height":18},"subhead":"Powered by AI Language models","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"GaIqKW9WQXqElGxVhOoOSA","internalName":"Products (MenuItem)","heading":"APIs","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":true,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"KYfjMdouQ2i8dkHIqBqAew","internalName":"Products (Wrapper)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":true,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"resourceItem":[{"__typename":"TemplateBlogRecord","id":"e1wy33mNTlGk8-WqDH28_Q","internalName":"Introducing Nova-3: Setting a New Standard for AI-Driven Speech-to-Text","slug":"introducing-nova-3-speech-to-text-api","title":"Introducing Nova-3: Setting a New Standard for AI-Driven Speech-to-Text","author":{"__typename":"EntityPersonRecord","id":"99585447","name":"Jose Nicholas Francisco","slug":"jose-nicholas-francisco","externalLink":"","headshot":{"__typename":"FileField","id":"40618961","title":null,"filename":"jose-nicholas-francisco.jpg","size":40247,"alt":null,"url":"https://www.datocms-assets.com/96965/1680721561-jose-nicholas-francisco.jpg","width":850,"height":850},"role":"Machine Learning Developer Advocate","personCategory":"deepgram_team","twitch":"","twitter":"https://twitter.com/JoseNicholas9","linkedin":"https://www.linkedin.com/in/josencf/","github":"https://github.com/josencf","bio":{"__typename":"EntityPersonModelBioField","blocks":[],"links":[],"value":{"schema":"dast","document":{"type":"root","children":[{"type":"paragraph","children":[{"type":"span","value":"Jose is a Developer Advocate at Deepgram, aiming to explain and demystify the inner workings of AI. He has a background in software engineering, with projects focused on fraud detection and prevention. Jose earned a bachelor's and master's degree in computer science, with a focus on artificial intelligence, from Stanford University. He currently lives in San Francisco with his friends."}]}]}}},"company":null},"coAuthors":[],"category":{"__typename":"EntityCategoryRecord","id":"180383068","categoryName":"Announcements"},"excerpt":"","featuredImage":{"__typename":"FileField","responsiveImage":{"__typename":"ResponsiveImage","src":"https://www.datocms-assets.com/96965/1740086862-2502-nova-3-blog-header.jpg?auto=format\u0026w=590","width":590,"height":259},"id":"dta16l66TcuCz7a_kbVgHA","title":null,"filename":"2502-nova-3-blog-header.jpg","size":282360,"alt":null,"url":"https://www.datocms-assets.com/96965/1740086862-2502-nova-3-blog-header.jpg","width":3600,"height":1584},"videoUrl":"","publishDate":"2025-02-12","_publishedAt":"2025-02-20T11:26:16-08:00","_updatedAt":"2025-02-20T11:26:15-08:00","hideFromListing":false}],"callToAction":{"__typename":"ComponentCallToActionRecord","id":"Xho9X9_YQj2HBRVr87BG0g","internalName":"View More Announcements","ctaId":"","buttonType":"text","color":"secondary","label":"View more","link":"https://deepgram.com/learn?type=Article\u0026page=1\u0026category=Announcements","openInNewWindow":false,"startIcon":"","endIcon":"arrow-right","popup":null,"header":"","subheader":"","background":"","layout":""},"id":"cZwYih-vTt2HRmvzqSHyXA","internalName":"Announcements (Updated)","heading":"Announcements","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":true,"isFeaturedMenu":null}],"callToAction":null,"id":"AK0pruN0QFC_SGK5wYVWSQ","internalName":"Products (Updated)","heading":"Products","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"GKeDczS4SGqSoTbcWkbFjw","internalName":"Contact Centers","heading":"Contact Centers","url":"https://deepgram.com/solutions/contact-centers/","icon":"","iconFile":{"__typename":"FileField","id":"EBZwhGozQ3Op2HsOIZKKOA","title":null,"filename":"customer-service.svg","size":1246,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060222-customer-service.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"S0gjLKOkQqaawR2Y_uUp8g","internalName":"Medical Transcription","heading":"Medical Transcription","url":"https://deepgram.com/solutions/medical-transcription","icon":"","iconFile":{"__typename":"FileField","id":"aT-DKd_qQzOapeLnOhXmHA","title":null,"filename":"medical.svg","size":1321,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060247-medical.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"IGVmTgENTka40VWSZJOfcQ","internalName":"Conversational AI New","heading":"Conversational AI","url":"https://deepgram.com/deepgram-for-voicebots-and-chatbots","icon":"","iconFile":{"__typename":"FileField","id":"SKxIxkPcSEqdcUOfh5XZCg","title":null,"filename":"conversational-ai.svg","size":1707,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060265-conversational-ai.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"U-aeHt_uRtiXpANkxFhzJA","internalName":"Speech Analytics","heading":"Speech Analytics","url":"https://deepgram.com/solutions/speech-analytics/","icon":"","iconFile":{"__typename":"FileField","id":"IiA_K-vxRjOTdfP8YT4Y6w","title":null,"filename":"speech-analytics.svg","size":1197,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060282-speech-analytics.svg","width":40,"height":40},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"Ulyuv_TRTBiPFZ-zp_fbFQ","internalName":"Media Transcription","heading":"Media Transcription","url":"https://deepgram.com/solutions/media-transcription","icon":"","iconFile":{"__typename":"FileField","id":"cmtpyVQiQm6HhO5gjL_SBA","title":null,"filename":"media.svg","size":1023,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060298-media.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"bkEy2BDUSL-nTuLPt6d8xg","internalName":"Use Cases (Updated)","heading":"Use Cases","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"cAPAWHdeRMuuvlDi9KrBvw","internalName":"Customers","heading":"Customers","url":"https://deepgram.com/customers","icon":"","iconFile":{"__typename":"FileField","id":"bBS_DmffSm-aOa0Nooixtg","title":null,"filename":"user.svg","size":780,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060368-user.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"EZKORhzGSAicMa-qbagW_Q","internalName":"Partners","heading":"Partners","url":"https://deepgram.com/partners","icon":"","iconFile":{"__typename":"FileField","id":"f7ek17sxR4iJxciwmQ7dEw","title":null,"filename":"people-connect.svg","size":2128,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060385-people-connect.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"da3jqK7HQUO08Jl4JC0xrA","internalName":"Startup Program","heading":"Startup Program","url":"https://deepgram.com/startup-program","icon":"","iconFile":{"__typename":"FileField","id":"KyXRy2fESUmSDOPE4R7zMA","title":null,"filename":"rocket.svg","size":1728,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060404-rocket.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"eeihgUavShymHc3Dd1gdpQ","internalName":"Solutions (Aside)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":true}],"resourceItem":[],"callToAction":null,"id":"eXHMICjJRDmtalGHnEWWbA","internalName":"Use Cases (Wrapper)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":true,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"callToAction":null,"id":"Xsa6czKxRAy3kA7dbFNo4A","internalName":"Solutions","heading":"Solutions","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":true,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"URfUVuoKSKSmso_UIBeUvw","internalName":"Articles (Updated)","heading":"Articles","url":"https://deepgram.com/learn/article","icon":"","iconFile":{"__typename":"FileField","id":"55495594","title":null,"filename":"articles.svg","size":1281,"alt":null,"url":"https://www.datocms-assets.com/96965/1686951380-articles.svg","width":40,"height":40},"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[],"id":"S3mW2zCQSOSdVJe-Cr6-EA","internalName":"Podcast","heading":"Podcast","url":"https://deepgram.com/learn?type=Podcast\u0026page=1","icon":"","iconFile":{"__typename":"FileField","id":"AsHJrHCpQBedsC1UOWB0lg","title":null,"filename":"mic-icon-solid-white.svg","size":1099,"alt":null,"url":"https://www.datocms-assets.com/96965/1729269052-mic-icon-solid-white.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"crqWxv9dT1OcGwTA-kGz3w","internalName":"Resource Hub","heading":"Resource Hub","url":"https://deepgram.com/learn","icon":"","iconFile":{"__typename":"FileField","id":"BrkanFmjS9ukidkmqeVizg","title":null,"filename":"books.svg","size":1341,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060578-books.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"YuJ8ED7QThaO2tcVhaipiw","internalName":"AI Glossary (Updated)","heading":"AI Glossary","url":"https://deepgram.com/ai-glossary","icon":"","iconFile":{"__typename":"FileField","id":"Ff3oKGexROqnZwEGiulEhg","title":null,"filename":"glossary-icon.svg","size":1243,"alt":null,"url":"https://www.datocms-assets.com/96965/1700614421-glossary-icon.svg","width":16,"height":16},"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[],"id":"LSr_32MbT0WrSDeWUk1BTQ","internalName":"About","heading":"About","url":"https://deepgram.com/about","icon":"","iconFile":{"__typename":"FileField","id":"fxcsxaKXQkWTuGIx8dy1Xw","title":null,"filename":"speech-bubble.svg","size":1127,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060599-speech-bubble.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"SYhrW2DqSTile3dawwdqUQ","internalName":"Careers","heading":"Careers","url":"https://deepgram.com/careers","icon":"","iconFile":{"__typename":"FileField","id":"Xk9wTnBtTRe0GM-pmlpC1A","title":null,"filename":"careers.svg","size":1147,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060617-careers.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"VgY73oDySP-eJwFUnX0nuA","internalName":"Resources (Updated)","heading":"Resources","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"R5LjYYw1QQi0ZRGHmGZDSw","internalName":"AI Apps (Updated)","heading":"AI Apps","url":"https://deepgram.com/ai-apps","icon":"","iconFile":{"__typename":"FileField","id":"P8c39vWdRFy408ukctx6Bw","title":null,"filename":"grid.svg","size":916,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060670-grid.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"SbuwCMzNTQeha9Nl_DmjTQ","internalName":"AI Minds","heading":"AI Minds","url":"https://www.aiminds.com/subscribe","icon":"","iconFile":{"__typename":"FileField","id":"SDlJL_mtQk6nedwaDWU68Q","title":null,"filename":"ai-minds-icon-green-duotone.svg","size":1000,"alt":null,"url":"https://www.datocms-assets.com/96965/1728570215-ai-minds-icon-green-duotone.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"SxJE9XOcT-mX-6FwMBOUxg","internalName":"AI Voice Generator (Updated)","heading":"AI Voice Generator","url":"https://deepgram.com/ai-voice-generator","icon":"","iconFile":{"__typename":"FileField","id":"aVhUPJTuRC6ilOEjYaIXUA","title":null,"filename":"podcast.svg","size":1437,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060689-podcast.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"NU-fFUiOSgOuMWz0LzoymA","internalName":"Transcription Tool","heading":"Transcription Tool","url":"https://deepgram.com/free-transcription","icon":"","iconFile":{"__typename":"FileField","id":"OW6bk-PmSuSDZdVr6YeGzg","title":null,"filename":"transcription.svg","size":2081,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060712-transcription.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"cfY60Ts-QMeXMv8EfO-RNw","internalName":"Resources (Aside)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":true}],"resourceItem":[],"callToAction":null,"id":"A6TRaJCSQXOVELJIprEH0Q","internalName":"Resources (Wrapper)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":true,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"callToAction":null,"id":"XUQQsRWXRr6aUPnJXXTgng","internalName":"Resources (Updated)","heading":"Resources","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"fHFVLkqcQd-4K-c396PcEg","internalName":"Documentation","heading":"Documentation","url":"https://developers.deepgram.com/documentation/","icon":"","iconFile":{"__typename":"FileField","id":"N_Qrr6OZQH-uWKJF9AyhJA","title":null,"filename":"documentation.svg","size":1338,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060846-documentation.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"aK871-b1TYuJ_kKZpnHgWw","internalName":"Tutorials","heading":"Tutorials","url":"https://deepgram.com/learn?type=Article\u0026page=1\u0026category=Tutorials","icon":"","iconFile":{"__typename":"FileField","id":"btvsxXukSAihlUZkf7BdJg","title":null,"filename":"tutorials.svg","size":1609,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060860-tutorials.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"Cy1MDYVURk6PUc7as-Pclw","internalName":"Status","heading":"Status","url":"https://status.deepgram.com/","icon":"","iconFile":{"__typename":"FileField","id":"Fbz8ggxbQ7S55E7luUGF-g","title":null,"filename":"status.svg","size":1029,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060872-status.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"dsLyXIlOSQidAhpwMpnEww","internalName":"Developers Part 1","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"MfucnO9VQDSZT7Oeir0T6Q","internalName":"Changelog","heading":"Changelog","url":"https://deepgram.com/changelog/","icon":"","iconFile":{"__typename":"FileField","id":"fiJq3KayQO-NEneHgLZghA","title":null,"filename":"changelog.svg","size":2769,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060899-changelog.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"Ep6QaVXkRDqWv_g2yrd_AQ","internalName":"Self-Hosted Deployment","heading":"Self-Hosted Deployment","url":"https://developers.deepgram.com/on-prem/","icon":"","iconFile":{"__typename":"FileField","id":"I3372J-bQ2G1qPj2gA1lmA","title":null,"filename":"on-prem.svg","size":2391,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060943-on-prem.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"fOElJi1yS3-Auladg-25Aw","internalName":"Help","heading":"Help","url":"https://github.com/orgs/deepgram/discussions/categories/general-help","icon":"","iconFile":{"__typename":"FileField","id":"SJYbuW46QhazLBdxDiEWFw","title":null,"filename":"question.svg","size":1439,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060960-question.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"K928bsM-Rlm3MiEdSzdtGA","internalName":"Developers Part 2","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","menuItem":[],"id":"XCRmPGyoQ2yCKUsDOTrLhQ","internalName":"Playground","heading":"Playground","url":"https://playground.deepgram.com/","icon":"","iconFile":{"__typename":"FileField","id":"LYZydVIsTj6By-VtZ9snpw","title":null,"filename":"playground.svg","size":6918,"alt":null,"url":"https://www.datocms-assets.com/96965/1728061004-playground.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":true,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","menuItem":[],"id":"ahT1ozf8StSwqmEiZpkCxg","internalName":"Community","heading":"Community","url":"https://community.deepgram.com/","icon":"","iconFile":{"__typename":"FileField","id":"IU5nlRa-Qu--Hmc7U8N6hg","title":null,"filename":"github.svg","size":3153,"alt":null,"url":"https://www.datocms-assets.com/96965/1728061058-github.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"resourceItem":[],"callToAction":null,"id":"Hs8cNja_SdiuTxHr3ARP0A","internalName":"Developers (Aside)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":true}],"resourceItem":[],"callToAction":null,"id":"Ws08bwVfThqjvwoIh1khuQ","internalName":"Developers (Wrapper)","heading":"","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":true,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false}],"callToAction":null,"id":"BzG4mwPTSCWz1-TWTt_eRg","internalName":"Developers (Updated)","heading":"Developers","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":true,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[],"callToAction":null,"id":"108477451","internalName":"Enterprise","heading":"Enterprise","url":"https://deepgram.com/enterprise","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[],"callToAction":null,"id":"108491755","internalName":"Pricing","heading":"Pricing","url":"https://deepgram.com/pricing/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"callToActions":[{"__typename":"ComponentCallToActionRecord","id":"108492178","internalName":"Log In","ctaId":"","buttonType":"text","color":"secondary","label":"Log In","link":"https://console.deepgram.com/","openInNewWindow":false,"startIcon":"","endIcon":"","popup":null,"header":"","subheader":"","background":"","layout":""},{"__typename":"ComponentCallToActionRecord","id":"T-CCS94ZQ2CRFyuYD-Kv-Q","internalName":"Get a Demo","ctaId":"","buttonType":"fill","color":"black","label":"Get a Demo","link":"/contact-us","openInNewWindow":false,"startIcon":"","endIcon":"","popup":null,"header":"","subheader":"","background":"","layout":""},{"__typename":"ComponentCallToActionRecord","id":"108492199","internalName":"Sign Up","ctaId":"","buttonType":"fill","color":"primary","label":"Sign Up","link":"https://console.deepgram.com/signup","openInNewWindow":false,"startIcon":"","endIcon":"","popup":null,"header":"","subheader":"","background":"","layout":""}],"showGlobalSearch":false,"globalBanner":null},"footer":{"__typename":"ComponentFooterRecord","id":"105656969","internalName":"Global Footer","heading":"Essential Building Blocks for Voice AI","subhead":"I accept the [Privacy Policy](/privacy).","menuItem":[{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","id":"cu-vqKTBREyK9wbdaS-DZg","internalName":"Voice Agent API","heading":"Voice Agent API","url":"https://deepgram.com/product/voice-agent-api","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"PsyJAPaoTw-PkWmTD8LIfw","internalName":"Text to Speech API","heading":"Text-to-Speech API","url":"https://deepgram.com/product/text-to-speech","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656128","internalName":"Speech to Text API","heading":"Speech-to-Text API","url":"https://deepgram.com/product/speech-to-text","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656131","internalName":"Audio Intelligence","heading":"Audio Intelligence API","url":"https://deepgram.com/product/audio-intelligence","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"id":"105656204","internalName":"Product Menu","heading":"Product","url":"https://deepgram.com/asr-comparison/compare-accuracy/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","id":"105656212","internalName":"Contact Centers","heading":"Contact Centers","url":"https://deepgram.com/solutions/contact-centers/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656214","internalName":"Speech Analytics","heading":"Speech Analytics","url":"https://deepgram.com/solutions/speech-analytics/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656229","internalName":"Conversational AI","heading":"Conversational AI","url":"https://deepgram.com/deepgram-for-voicebots-and-chatbots/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656244","internalName":"Podcast Transcription","heading":"Podcast Transcription","url":"https://deepgram.com/deepgram-for-podcast-transcription/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"PC3BtUu7Qp-30rgqntSx4Q","internalName":"Medical Transcription","heading":"Medical Transcription","url":"https://deepgram.com/solutions/medical-transcription","icon":"","iconFile":{"__typename":"FileField","id":"LCaI5BldSXSlboZDAeM9GA","title":null,"filename":"medical-icon-solid.svg","size":1328,"alt":null,"url":"https://www.datocms-assets.com/96965/1703085065-medical-icon-solid.svg","width":40,"height":40},"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"da3jqK7HQUO08Jl4JC0xrA","internalName":"Startup Program","heading":"Startup Program","url":"https://deepgram.com/startup-program","icon":"","iconFile":{"__typename":"FileField","id":"KyXRy2fESUmSDOPE4R7zMA","title":null,"filename":"rocket.svg","size":1728,"alt":null,"url":"https://www.datocms-assets.com/96965/1728060404-rocket.svg","width":16,"height":16},"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","id":"amyCH0A8T_SjjV8zAAbUmg","internalName":"Affiliate Program","heading":"Affiliate Program","url":"https://deepgram.com/affiliates","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null}],"id":"105656246","internalName":"Solutions Menu","heading":"Solutions","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","id":"105656250","internalName":"Documentation","heading":"Documentation","url":"https://developers.deepgram.com/documentation/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656279","internalName":"Changelog","heading":"Changelog","url":"https://deepgram.com/changelog/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"108491757","internalName":"API Playground","heading":"API Playground","url":"https://playground.deepgram.com/","icon":"stars","iconFile":{"__typename":"FileField","id":"55495585","title":null,"filename":"codey.svg","size":7006,"alt":null,"url":"https://www.datocms-assets.com/96965/1687294820-codey.svg","width":40,"height":40},"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656288","internalName":"Community","heading":"Community","url":"https://community.deepgram.com/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"H7-W9SSETNaXW8Qjpv_B0w","internalName":"Self-hosted","heading":"Self-hosted","url":"https://developers.deepgram.com/docs/self-hosted-introduction","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","id":"105656282","internalName":"Support","heading":"Support","url":"https://developers.deepgram.com/support/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"id":"105656290","internalName":"Developers Menu","heading":"Developers","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","id":"105656293","internalName":"About","heading":"About","url":"https://deepgram.com/about","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656294","internalName":"Blog","heading":"Blog","url":"https://deepgram.com/learn/article","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656298","internalName":"Careers","heading":"Careers","url":"https://deepgram.com/careers/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"f8O2BH_kQuS6patqImh2Qw","internalName":"Newsletter","heading":"Newsletter","url":"https://www.aiminds.com/?ref=deepgram.com","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"138844959","internalName":"Customers | Footer","heading":"Customers","url":"https://deepgram.com/customers","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"d3z1KSlWRHqZuEUCD4O7LQ","internalName":"Partners","heading":"Partners","url":"https://deepgram.com/partners","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","id":"105656296","internalName":"Newsroom","heading":"Newsroom","url":"https://deepgram.com/company/newsroom/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"id":"105656302","internalName":"Company Menu","heading":"Company","url":"https://deepgram.com/about","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","id":"105656319","internalName":"OpenAI Whisper vs Deepgram","heading":"OpenAI Whisper vs Deepgram","url":"https://deepgram.com/compare/openai-vs-deepgram-alternative","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656322","internalName":"Amazon vs Deepgram","heading":"Amazon Transcribe vs Deepgram","url":"https://deepgram.com/compare/amazon-vs-deepgram-alternative","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656321","internalName":"Google vs Deepgram","heading":"Google vs Deepgram","url":"https://deepgram.com/compare/google-vs-deepgram-alternative","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656323","internalName":"Microsoft vs Deepgram","heading":"Microsoft Azure vs Deepgram","url":"https://deepgram.com/compare/microsoft-vs-deepgram-alternative","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656310","internalName":"ASR Comparison Tool","heading":"ASR Comparison Tool","url":"https://deepgram.com/asr-comparison/","icon":"chart-horizontal","iconFile":{"__typename":"FileField","id":"55495589","title":null,"filename":"chart-horizontal.svg","size":737,"alt":null,"url":"https://www.datocms-assets.com/96965/1686950378-chart-horizontal.svg","width":40,"height":40},"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"id":"105656339","internalName":"Compare Menu","heading":"Compare","url":"https://deepgram.com/asr-comparison/compare-accuracy/#","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","menuItem":[{"__typename":"MenuItemRecord","id":"FwrMS8n4QHqGJKghP47tDw","internalName":"AI Apps","heading":"AI Apps","url":"https://deepgram.com/ai-apps","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"GiCSGCMpQkK0qv_Liwf6WA","internalName":"AI Glossary","heading":"AI Glossary","url":"https://deepgram.com/ai-glossary","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"Rvar7YzSQ2-V0O4NXpgkMw","internalName":"AI Voice Generator Tool","heading":"AI Voice Generator Tool","url":"https://deepgram.com/ai-voice-generator","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"HPEFfyxhQIi9GS4xjiniJA","internalName":"Audio \u0026 Video Transcription Tool","heading":"Audio \u0026 Video Transcription Tool","url":"https://deepgram.com/free-transcription","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"DiI5nYyqRYq5rSNxQBokpw","internalName":"Introducing Deepgram’s Voice Agent API","heading":"Introducing Deepgram’s Voice Agent API","url":"https://deepgram.com/learn/introducing-ai-voice-agent-api","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","id":"asylm83QRxOIAYmudvhWUw","internalName":"Deepgram and Amazon Connect Integration","heading":"Deepgram and Amazon Connect Integration","url":"https://deepgram.com/learn/aws-connect-partnership-expansion-unlocks-voice-data-scale","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":false,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":false},{"__typename":"MenuItemRecord","id":"b9E6K_EhR32SQ3cae-Zx8Q","internalName":"The Best Speech-to-Text APIs in 2024","heading":"The Best Speech-to-Text APIs in 2024","url":"https://deepgram.com/learn/best-speech-to-text-apis","icon":"","iconFile":null,"subhead":"","isWrapper":false,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":false,"isFeaturedMenu":null}],"id":"138844913","internalName":"Resources | Footer","heading":"Resources","url":"","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"bottomFooter":[{"__typename":"MenuItemRecord","id":"105656964","internalName":"Terms","heading":"Terms","url":"https://deepgram.com/terms/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null},{"__typename":"MenuItemRecord","id":"105656968","internalName":"Privacy","heading":"Privacy","url":"https://deepgram.com/privacy/","icon":"","iconFile":null,"subhead":"","isWrapper":null,"isHighlightedLink":null,"isSubMenu":false,"isBlogMenu":null,"isFeaturedMenu":null}],"form":{"__typename":"ComponentFormRecord","id":"105656090","internalName":"Footer Form","formId":"57010195-c142-4647-9db2-fd0ea0af1df8","variant":"hubspot","inverted":null,"popupBackgroundColor":"","formHeading":"","sectionHeading":"","sectionHeadingSize":"","headingSizeTablet":"lg","headingSizeMobile":"lg"},"disclaimerText":"Copyright © 2025 Deepgram","logo":null,"tagline":""},"key":"rectified-linear-unit-relu"},"__N_SSG":true},"page":"/ai-glossary/[[...slug]]","query":{"slug":["rectified-linear-unit-relu"]},"buildId":"aKlbLnwOcbS2I9rWB9BGQ","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[55254,57566,86978],"gsp":true,"scriptLoader":[]}</script><noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-PFZZ2KW" height="0" width="0" style="display: none; visibility: hidden;" /></noscript><div id="portal-root"></div></body></html>