Description
本期节目深入探讨了DeSTA2.5-Audio，这是一种创新的大型音频语言模型。我们讨论了它如何通过“自生成”策略解决灾难性遗忘问题，即让模型自己创建训练数据，从而在不损害其语言能力的情况下，高效地学习音频理解。我们还将分析其在多个基准测试中的卓越表现，以及数据构建在多模态人工智能发展中的核心作用。
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