Chapter 3: Looking Inside Large Language Models | Hands-On Large Language Models Book

In this video, we go completely under the hood of a generative Transformer block with Chapter 3: Looking Inside Large Language Models from the book Hands-On Large Language Models. Instead of treating text generation like a magic black box, we open up the internal pipeline of autoregressive causal language models. You will learn the exact technical mechanics of how a prompt travels from token IDs, through a massively parallelized forward pass of stacked decoder layers, into a vocabulary logit scoring layer, and finally out as sequential text generation. We also explore the critical architecture elements like the KV Cache and modern efficiency upgrades that keep model latency down. 💻 Download the Source Code & Read the Articles Here: https://onepagecode.substack.com/ 📘 Buy the Entire Book – Available on Amazon Worldwide (If you are a paid subscriber, use the URL at the end of the Substack article to download the book for free!) You can now purchase the complete book directly from Amazon in your country: 🇺🇸 United States (US): https://kdp.amazon.com/amazon-dp-action/us/dualbookshelf.marketplacelink/B0H6WZJ57S 🇬🇧 United Kingdom (UK): https://kdp.amazon.com/amazon-dp-action/uk/dualbookshelf.marketplacelink/B0H6WZJ57S 🇩🇪 Germany (DE): https://kdp.amazon.com/amazon-dp-action/de/dualbookshelf.marketplacelink/B0H6WZJ57S 🇫🇷 France (FR): https://kdp.amazon.com/amazon-dp-action/fr/dualbookshelf.marketplacelink/B0H6WZJ57S 🇪🇸 Spain (ES): https://kdp.amazon.com/amazon-dp-action/es/dualbookshelf.marketplacelink/B0H6WZJ57S 🇮🇹 Italy (IT): https://kdp.amazon.com/amazon-dp-action/it/dualbookshelf.marketplacelink/B0H6WZJ57S 🇳🇱 Netherlands (NL): https://kdp.amazon.com/amazon-dp-action/nl/dualbookshelf.marketplacelink/B0H6WZJ57S 🇯🇵 Japan (JP): https://kdp.amazon.com/amazon-dp-action/jp/dualbookshelf.marketplacelink/B0H6WZJ57S 🇧🇷 Brazil (BR): https://kdp.amazon.com/amazon-dp-action/br/dualbookshelf.marketplacelink/B0H6WZJ57S 🇨🇦 Canada (CA): https://kdp.am