How LLMs Work: Building a Language Model From Scratch with CJ
Content is AI-assisted and may contain inaccuracies.
CJ from Coding Garden walks through the internals of large language models in a hands-on video that builds everything from scratch with real working code. The session covers chatbots, neural networks, tokenization, embeddings, and the transformer architecture, with historical context woven throughout.
Rather than staying at the theory level, the video shows actual implementation of each concept, from basic neural networks up through the full transformer stack. The code is available on GitHub for reference. Useful for developers who want to understand what happens inside an LLM beyond the API surface.