Lambert: RLHF has not been shown to improve underlying model benchmark capabilities
Nathan Lambert · The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert · Jan 11, 2024 · at 59:53
AI researcher Dr. Nathan Lambert discusses how reinforcement learning from human feedback impacts language model evaluations on the Latent Space Podcast.
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“RLHF is not that shown to improve capabilities yet. I think one of the fun ones is from the GPT-IV technical report. They essentially listed their kind of bogus evaluations, because it's a hilarious table, because it's like LSAT AP exams, and then like AMC-X and AMC-X are like, Kind of reasonable evals in language model land. But they just showed that, like, RLHF doesn't improve their evaluation metrics.”
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