Reinforcement Learning from Human Feedback (RLHF)

Reinforcement Learning from Human Feedback (RLHF) improves the usefulness of responses generated by an ML model. This course will teach you what RLHF is, how it improves responses, its limitations, and how RLAIF addresses these limitations.

Have you ever wondered how tools like ChatGPT are able to generate great responses to the questions you pose? For example, how they can respond to a prompt like, “Plan a trip to Italy this fall and suggest great things to see,” and produce a response containing a full itinerary with places to see, the best time to visit, and the sites you shouldn't miss? In this course, Reinforcement Learning from Human Feedback (RLHF), you’ll gain the ability to understand what is going on behind the scenes to create responses to your prompts. First, you’ll explore why having all the information available is not enough to create a great response. Next, you’ll discover how to train a machine learning model to handle all of that data and craft a response that people like. Finally, you’ll learn the limitations of RLHF and how Reinforcement Learning from AI Feedback (RLAIF) addresses these limitations. When you’re finished with this course, you’ll have the skills and knowledge of RLHF and RLAIF needed to understand how this great engineering works and produces amazing results.