RLHF, or Reinforcement Learning with Human Feedback, is like teaching a dog new tricks with a mix of training and guidance. Imagine you want to teach your dog to fetch a ball. At first, the dog might not know what you want, but with some guidance and rewards for good behavior, the dog starts to understand and improve over time.
In RLHF, a computer learns to perform tasks by receiving feedback from humans. Just like you guide your dog with treats and commands, you provide the computer with feedback on its actions. The computer tries different actions and learns from the feedback it gets. If it does something right, it gets a reward, and if it makes a mistake, it gets corrected.
For example, suppose you’re teaching a computer to write helpful responses. You might give it examples of good responses and let it generate its own. When it writes a good response, you give it positive feedback, and when it makes a mistake, you provide corrections. Over time, the computer learns to produce better responses based on the feedback it receives.
In simple terms, RLHF is about helping a computer learn how to do something better by giving it human feedback and rewards, just like teaching a dog new tricks with guidance and treats.
