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深入探讨ProRL（Prolonged Reinforcement Learning）如何通过延长强化学习训练，结合KL散度控制、参考策略重置和多样化任务，显著提升大语言模型的推理能力，甚至发掘出基础模型无法触及的全新解题策略。本期节目将详细解析ProRL的技术细节、Nemotron-Research-Reasoning-Qwen-1.5B模型的惊人表现，以及这对AI未来发展的深远影响。
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