7 Reinforcement Learning from Human Feedback (RLHF)

Dawn Sivan, K. Satheesh Kumar, Veena Raj et al.

2024 · De Gruyter eBooks · 4 citations

This chapter primarily focuses on the introduction of reinforcement learning from human feedback (RLHF), an approach by which artificial intelligence (AI) models learn from human feedback, within the realm of generative AI and large language models (LLMs). The foundation principles of RLHF are explored, emphasizing its crucial role in implementing RLHF for specialized applications. The associated challenges and their possible solutions are discussed, ensuring the efficient integration of RLHF with LLMs. The methodologies for implementing LLMs with human feedback, such as advanced reward desig…

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