LLM Systems & Interpretability

A technical course about AI, large language models, agents, and mechanistic interpretability. Lessons provide the conceptual spine; Labs make ideas concrete through mathematics, code, model inspection, and experiments.

Start with the curriculum, then browse Lessons and nearby Labs. The course evolves deliberately as researched teaching material is reviewed.

Note

Lesson 1.1 — The AI Zoo and Lab 01 — Map AI Systems are available. Additional clearly labeled rendering samples demonstrate publishing features; they are not course lessons.

Selected learner examples and instructor feedback may be published when they improve teaching.