RLHF
RLHF, or Reinforcement Learning from Human Feedback, is a technique used to train AI models, like chatbots, to be more helpful, accurate, and safe by learning from human preferences and corrections.
How it works
It works by having humans rank or rate different AI responses, and then using those rankings to train a 'reward model' that guides the AI's learning process. This matters because it allows AI systems to align with complex human values and ethics that are difficult to code with simple rules.
Examples
- 1.Training a customer service chatbot to give more polite and on-topic answers
- 2.Refining a creative writing assistant to produce stories that are more coherent and engaging
- 3.Teaching an AI tutor to provide explanations that are factually correct and appropriately detailed for a student's level