Constitutional AI and Self-Improvement
RLHF needs humans in the loop. Constitutional AI replaces most of them with the model itself. Write a list of principles, have the model critique its own outputs against those principles, and train on the critiques. DeepSeek-R1 pushed this further in 2025: let the model generate millions of reasoning traces, grade them with a rule, and run GRPO on the outcome. Most of the "alignment work" in a 2026 frontier model is the model alignment itself. This lesson builds both loops.
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 10 — LLMs from Scratch. Use the previous / next cards below to keep browsing the phase.