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清华团队靠强化学习让 7B 模型打败GPT-4o数学推理
近日,清华大学 NLP 实验室联合上海 AI Lab,清华大学电子系及 OpenBMB 社区提出一种新的结合过程奖励的强化学习方法—— PRIME(Process Reinforcement through IMplicit REwards),采用 PRIME 方法,研究人员不依赖任何蒸馏数据和模仿学习,仅用 8 张 A100,花费一万块钱左右,不到 10天 时间,就能高效训练出一个数学能力超过 ...
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