RLHF (Reinforcement Learning from Human Feedback) — A training technique where human evaluators rank AI outputs, and the model learns to produce responses humans prefer. This is how ChatGPT became conversational. The human feedback loop makes models more helpful, harmless, and honest.
Why It Matters
Understanding RLHF is essential for anyone building or evaluating AI systems. As AI tools proliferate, knowing the fundamentals helps you make better decisions about which tools to trust and deploy.
Related Concepts
Explore more AI terms in our AI Knowledge Base, browse 70+ AI Providers, or check real-time reliability data on 15,000+ MCP servers.
Leave a Reply