Open-Source 12-Chapter Guide Enables LLM Development with Fully Annotated Code

A comprehensive educational guide published on GitHub provides step-by-step instructions for building a modern language model from scratch, featuring over 7,500 fully commented lines of Python code. The 12-chapter resource, titled "How to Train Your GPT," covers the complete pipeline from tokenization and embeddings through inference, including critical components like Rotary Position Embeddings (RoPE), multi-head attention mechanisms, and mixed-precision training loops.