Description
在本期节目中，我们将深入探讨来自阿里巴巴通义实验室的最新研究成果 WebSailor。该研究提出了一套完整的后训练方法，旨在解决开源大型语言模型在复杂信息检索任务中面临的“极端不确定性”挑战，从而弥合与顶级专有系统之间的能力差距。我们将讨论其创新的数据合成技术 SailorFog-QA、独特的专家轨迹重构方法，以及高效的强化学习算法 DUPO。欢迎收听。
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