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杨植麟十年前博士论文XLNet成Kimi K2万亿参数MoE架构关键
34岁创始人杨植麟，清华本科+CMU博士，曾任职Meta AI和Google Brain。其博士论文工作XLNet累计被引超1万次，该技术脉络演进为Kimi K2模型的万亿参数MoE架构。这一技术路线被认为是Kimi在与美国模型竞争中获胜的关键因素之一。
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想知道Kimi K2的MoE架构从哪来的？原来源于创始人十年前的博士论文XLNet，技术传承很有意思。
2 sources75° AI heatLast updated 2026/7/21 08:15:20
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