Stanford 2.5-hour lecture explains end-to-end how ChatGPT and Claude are built
MaxLi_Columbia · x · 2026-11-06
Huxlab recommends a 2h34m Stanford lecture billed as the clearest end-to-end explanation of how ChatGPT and Claude are built. It covers BPE tokenization, next-token prediction as the core of LLMs, attention as message passing in Transformers, NLL loss during training, and step-by-step decoding at inference time — a complete mental model for both beginners and agent developers.
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