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自2025年初DeepSeek R1模型发布以来,强化学习(RL)在大型语言模型(LLM)的后训练范式中受到越来越多的关注,R1的突破性在于引入了可验证奖励强化学习(RLVR),通过构建数学题、代码谜题等自动验证环境,使模型在客观奖励信号的驱动下,自发地演化出与人类推理策略高度相似的思维方式。
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