Description
本期节目深入探讨了Menlo Research的突破性项目“露西”，一个仅1.7亿参数的小型语言模型，如何通过创新的动态任务向量机制和两阶段强化学习框架，在移动和边缘设备上实现与大型模型相媲美的智能体式网页搜索能力。我们将揭示其如何通过优化思维过程而非增加模型规模来打破传统瓶颈，并探讨思维标签在任务向量中的关键作用以及其带来的出乎意料的自适应行为。
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