Part 7/14:
One of the key innovations behind ChatGPT is Reinforcement Learning with Human Feedback (RLHF). After initial training, human evaluators provide feedback—thumbs up or down—on the model's responses. This feedback trains a reinforcement learning model that predicts human preferences.
In practice, ChatGPT generates responses, humans rate them, and the model learns to produce better responses aligned with human liking. This process is crucial for creating more natural, safe, and user-friendly interactions, as it guides the model toward responses that are more helpful and less harmful.