The Practical LLM Systems Guide

Fifteen lessons for understanding LLM systems from raw text to controlled autonomy. No hype, no shortcuts — just the mechanisms, built with intention. You will trace a prompt through tokenization, inference, and decoding; learn to budget context, retrieve evidence, and evaluate probabilistic output; and end by designing bounded agents with explicit trust boundaries.

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