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RLHF: Reinforcement Learning from Human Feedback

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In literature discussing why ChatGPT is able to capture so much of our imagination, I often come across two narratives:

[ LinkedIn discussion , Twitter thread ] In literature discussing why ChatGPT is able to capture so much of our imagination, I often come across two narratives: Scale: throwing more data and compute at it. UX: moving from a prompt interface to a more natural chat interface. One narrative that is often glossed over is the incredible technical creativity that went into making models like ChatGPT work. One such cool idea is RLHF (Reinforcement Learning from Human Feedback): incorporating reinforcement learning and human feedback into NLP. RL has been notoriously difficult to work with, and theref

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