TL;DR
An advanced alignment training framework that guides artificial intelligence behavior using a predefined set of principles and self-critique, minimizing the need for human labeling.
Developed by Anthropic, Constitutional AI trains harmless models via a two-phase process utilizing both supervised and reinforcement learning. During the supervised phase, the model generates responses, critiques its own output against a rules-based constitution, and revises them for fine-tuning. In the second phase, a secondary AI evaluates responses based on the constitution to train a preference model, which then guides reinforcement learning.
Why this matters for your business
It provides an efficient, scalable, and highly transparent alternative to manual RLHF. This enables enterprises to deploy safer, context-aware AI products with fewer human annotators.
