Main Concept
- Reinforcement learning from human feedback (RHLF) improves model outputs based on human preferences
- RLHF involves collecting human ratings of Model responses and using them to refine model’s behavior
- RLHF helps align with model outputs with human values and expectations
- Continuous evaluation and feedback loops helps make sure the fine-tuned model maintains desired performance levels