Constitutional AI
Constitutional AI is a training methodology for aligning large language models (LLMs) with human values by using a set of principles or 'constitution' to guide model behavior. It involves a two-stage process: supervised fine-tuning where models learn from human feedback based on constitutional principles, followed by reinforcement learning from AI feedback where models critique and improve their own outputs. This approach aims to create AI systems that are helpful, harmless, and honest without requiring extensive human oversight.
Developers should learn Constitutional AI when building or fine-tuning large language models that need to operate safely and ethically in production environments. It's particularly valuable for applications like chatbots, content moderation systems, and AI assistants where alignment with human values is critical. This methodology helps reduce harmful outputs and biases while maintaining model capabilities.