Show HN: I built a tiny LLM to demystify how language models work (github.com) AI

The Show HN post and GitHub repository introduce “GuppyLM,” a simple ~9M-parameter language model trained from scratch on synthetic fish-themed conversations. It walks through the full pipeline—dataset generation, tokenizer training, a vanilla transformer architecture, a basic training loop, and inference—aiming to make LLM internals less of a black box. The project highlights design tradeoffs (single-turn chats, no system prompt, limited context) and provides notebooks and code for reproducing training and running the model.