What Is Reinforcement Learning From Human Feedback (rlhf)?

RLHF is a machine learning approach that combines reinforcement learning techniques with human guidance to train an AI agent. It is primarily used in natural language processing (NLP) for AI agent understanding in applications such as chatbots and conversational agents, text to speech and summarization. The goal of RLHF is to train language models that generate text that is both engaging and factually accurate by creating a reward model to predict how humans will rate the quality of text generated by the language model. It also enables the model to reject questions that are outside the scope of the request.