I built an interactive 11-chapter guide to how LLM inference actually works

This guide breaks down the complex inner workings of large language models (LLMs) in an accessible way, using a simplified version of production software called nano-vLLM. Author Ashwin Giridharan has created an interactive 11-chapter series that makes the intricate details of LLM inference clear without needing advanced machine learning knowledge. This project highlights the importance of making sophisticated technologies understandable, which could lead to broader adoption and innovation in AI.