Definition
Constitutional AI is a framework for aligning large language models with human values without relying solely on human feedback for every step. It involves creating a ‘constitution’ of high-level principles and rules. The model is trained to critique and revise its own responses based on these principles, effectively teaching itself to be safer and more helpful. This process reduces the need for extensive human labeling and allows for scalable alignment, ensuring the model adheres to ethical standards during generation and refinement phases.
Summary
A method for training AI models to follow safety guidelines through self-critique based on a predefined set of principles.
Key Concepts
- Self-Correction
- Alignment
- Principles-Based Training
- RLHF Alternative
Use Cases
- Reducing harmful output in LLMs
- Improving model helpfulness and honesty
- Scaling safety training efficiently