About
This skill provides a comprehensive framework for implementing Constitutional AI (CAI), a specialized approach for safety alignment that reduces harmful outputs without requiring manual human labeling. It guides developers through a robust two-phase process: first, supervised learning where models critique and revise their own responses based on a predefined 'constitution' of principles; and second, Reinforcement Learning from AI Feedback (RLAIF) to scale safety training. It is an essential toolkit for AI researchers and engineers aiming to build models that are not only safe but also explainable and nuanced in their decision-making processes.
