本期,我们将一起揭秘AI的几套最新“武功秘籍”。我们会看到,AI如何通过聪明的“实习生”机制实现疯狂提速;又如何为自己打造一个“驾校模拟器”,在行动前预判成败。更进一步,我们还会深入AI的“厨房”与“健身房”,看看科学家是如何为它定制私房菜谱、修炼训练内功,把它从一个“独行侠”培养成一个懂得协作的“项目主管”!
“快”与“好”的战争,AI是怎么悄悄提速的?
让AI学会“脑补”,需要分几步?
如何喂养一个聪明的AI?一份来自顶尖研究的私房菜谱
如何把一个“普通学生”AI,训练成“项目主管”?
AI训练的“内功心法”,快慢分开走
本期介绍的几篇论文:
[LG] DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
[DeepSeek-AI & Peking University]
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[CL] Qwen-AgentWorld: Language World Models for General Agents
[Qwen Team]
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[AI] OpenThoughts-Agent: Data Recipes for Agentic Models
[UC Berkeley & Stanford University & JSC]
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[AI] SPIRAL: Learning to Search and Aggregate
[Stanford University]
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[LG] Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors
[EPFL]
![[人人能懂AI前沿] 从推测解码、世界模型到训练解耦:深入AI的“内功心法”](https://image.xyzcdn.net/FqWpK8fpivLboaqBbRHUe_BCOvxu.png@small)