Kimi K3为何能领跑开源大模型 | 杨植麟 | 月之暗面 | Muon优化器 | 长上下文 | 智能体蜂群 | 注意力残差 | 多模态融合 | AI开源 | 大语言模型 | Kimi Linear
本期视频深度回溯月之暗面创始人杨植麟在英伟达GTC大会上的技术演讲，完整拆解Kimi K3背后的三大技术扩展路径：通过Muon优化器配合QK clip将token效率提升两倍、Kimi Linear架构实现长短上下文全面超越全注意力、智能体蜂群范式通过三项奖励机制实现多智能体协同。视频还详解了K2.5首次实现视觉文本原生早期融合，发现模态互相增强的反常识结论，以及下一代注意力残差架构将token效率再提升24%的技术预告，最后探讨大模型时代"扩展阶梯"带来的研究方法论变革。 https://youtu.be/CwePo4847ho?si=Bu8otRHE6x8-xxkS
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