---
title: What is Generative AI?
seo_title: What is Generative AI? — video
description: 'How generative AI works: from embeddings and the Transformer to foundation models. Scaling laws, LLMOps, and differences between LLMs, RAG, and agents.'
keywords: generative AI, what is generative AI, transformer, language models, LLM, embedding, scaling laws, GPT, foundation models, RLHF, fine-tuning
date: '2026-03-17T00:00:00+00:00'
robots: index,follow,max-snippet:-1,max-image-preview:large,max-video-preview:-1
hide:
- toc
- navigation
video_watch_page: true
---


<div class="s5-video-watch" data-s5-video-watch data-video-id="videos-series-fundamentos-ia-iag-02-que-es-ia-generativa-md">
  <header class="s5-video-watch__header">
    <div class="s5-video-watch__crumbs"><a href="https://5sigmas.com/en/videos/">All videos</a><span>Foundations</span><span>1:03</span></div>
    <h1>What is Generative AI?</h1><p>How generative AI works: from embeddings and the Transformer to foundation models. Scaling laws, LLMOps, and differences between LLMs, RAG, and agents.</p>
  </header>
  <div class="s5-video-watch__player">
    <video controls crossorigin="anonymous" preload="metadata" poster="/en/series/fundamentos-ia-iag/02-que-es-ia-generativa.jpg" playsinline data-s5-watch-player><source src="/en/series/fundamentos-ia-iag/02-que-es-ia-generativa.mp4" type="video/mp4">Your browser does not support the video element.</video>
    <p>Links containing <code>?t=</code> open the video at a specific second.</p>
  </div>
  <section class="s5-video-watch__summary" aria-labelledby="video-summary-title">
    <div class="s5-video-watch__section-head"><span class="s5-eyebrow">Video summary</span><h2 id="video-summary-title">The ideas to retain</h2></div>
    <div class="s5-video-watch__snippet-grid"><article><span>01</span><h2>1. Embeddings: Translating text into numbers</h2><p>ML models need numbers as input, and text is not naturally numerical.</p></article>
<article><span>02</span><h2>2. The Transformer: The architecture that changes everything</h2><p>Before the Transformer (2017), models processed text in order, token by token, with two practical consequences:</p></article>
<article><span>03</span><h2>3. Scaling laws: when quantity becomes quality</h2><p>Training uses self-supervised learning: without labels and with a simple signal (predicting the next token), the model learns from the raw volume of text, and that volume produces a result…</p></article></div>
  </section>
  
  
  <aside class="s5-video-watch__source"><div><span class="s5-eyebrow">Context and evidence</span><h2>Continue with the full article</h2><p>The chapter develops the mechanism, primary sources, limitations and connections to the rest of the series.</p></div><a class="s5-video-watch__source-link" href="https://5sigmas.com/en/series/fundamentos-ia-iag/02-que-es-ia-generativa/">Read the article →</a></aside>
  <section class="s5-video-watch__related" aria-labelledby="related-videos-title"><div class="s5-video-watch__section-head"><span class="s5-eyebrow">Next step</span><h2 id="related-videos-title">Related videos</h2></div><div class="s5-video-watch__related-grid"><article><a href="https://5sigmas.com/en/videos/series/fundamentos-ia-iag/04-agi/"><img src="https://5sigmas.com/en/series/fundamentos-ia-iag/04-agi.jpg" alt="" loading="lazy" width="1280" height="720"><span>Foundations · 1:03</span><strong>AGI: Artificial General Intelligence</strong></a></article>
<article><a href="https://5sigmas.com/en/videos/series/fundamentos-ia-iag/03-ia-vs-ia-generativa/"><img src="https://5sigmas.com/en/series/fundamentos-ia-iag/03-ia-vs-ia-generativa.jpg" alt="" loading="lazy" width="1280" height="720"><span>Foundations · 1:03</span><strong>Classical AI vs Generative AI</strong></a></article>
<article><a href="https://5sigmas.com/en/videos/series/fundamentos-ia-iag/01-que-es-ia/"><img src="https://5sigmas.com/en/series/fundamentos-ia-iag/01-que-es-ia.jpg" alt="" loading="lazy" width="1280" height="720"><span>Foundations · 1:03</span><strong>What is AI?</strong></a></article></div></section>
</div>
