An AI development team is refining a language model. Their process involves showing human reviewers two different model-generated responses to the same prompt and asking them to select the better one. This preference data is then used to further train the model. What is the fundamental goal of this training methodology?

The central objective of Reinforcement Learning from Human Feedback (RLHF) is to train a language model to produce the most factually correct and verifiable information.

The Objective of Reinforcement Learning from Human Feedback