The Practical LLM Systems Guide

Written for engineers who would rather know how a model works than what it is called. Starting from raw text and tokenization, you will build up through inference, grounded retrieval, and evaluation — then design bounded agents with explicit trust boundaries. Assumes you can read code; assumes nothing about LLMs.

5 modules · 15 lessons · 16–20 hours including labs