深入剖析DAPO：大规模开源LLM强化学习系统

from AI Podcast · host weedge

本期播客深入探讨了DAPO（解耦裁剪与动态采样策略优化）算法，这是一个在Qwen2.5-32B基础模型上实现AIME 2024测试50分的先进大规模强化学习系统。我们详细讨论了其四项关键技术：Clip-Higher、动态采样、词元级策略梯度损失和超长奖励修正，以及它们如何解决熵塌陷、梯度消失、长CoT场景下的学习不平衡和奖励噪声等问题，并介绍了其开放源代码、训练代码和精心处理的数据集对社区的贡献。

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This episode was published on June 2, 2025.

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