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Nathan Lambert
@natolambert
Open model research @ something new. Prev. co-led Olmo at Ai2. Writes @interconnectsai, wrote
加入 December 2014
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An basic idea in scaling RL: Can we allocate more compute to the harder problems? We did this: If your GRPO group has all wrong completions, sample more with probability P (~0.9) -- in search of more GRPO batches with nonzero gradient. It works! Called "Never Give Up"
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