Show HN: How-to-train-your-GPT. Every line commented
Category: ai-ml
Tags: gpt, transformer, llm, deep-learning, tutorial, educational
Score: 7.0/10 (Innovation: 5, Technical: 7, Documentation: 9, Utility: 7)
An interactive 12-chapter textbook that teaches how to build a modern GPT-style language model from scratch, with every line of the 7,500+ lines of code annotated and explained in simple terms. It uniquely bridges the gap between shallow API tutorials and dense academic papers by providing complete commented implementations of components like RoPE, RMSNorm, SwiGLU, KV cache, and mixed precision training, making complex LLM internals accessible to Python developers with no ML background.
Target audience: backend devs, data engineers, ai-ml learners
Repository: https://github.com/raiyanyahya/how-to-train-your-gpt · Jupyter Notebook · MIT · 1577 stars
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