00:01:07 AI当学徒:如何把“笨学生”调教成“优化大师”?
00:05:48 AI专家速成指南:换个姿势,我们能造出“神医”吗?
00:10:48 从“大力出奇迹”到“精准打击”:AI的进化新思路
00:14:59 AI的“偏见”:它如何看透纷繁信息,抓住本质?
00:19:50 让AI学会“多想一步”:笨办法里的真智慧
本期介绍的几篇论文:
[LG] CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
[DeepReinforce Team]
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[CL] Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
[Princeton University]
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[LG] Reframing attention as a reinforcement learning problem for causal discovery
[University of Tübingen & University of Amsterdam]
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[LG] Provable Low-Frequency Bias of In-Context Learning of Representations
[University of Michigan & Harvard University]
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[LG] Change of Thought: Adaptive Test-Time Computation
[Google Research & Georgia State University & Maynooth University]
![[人人能懂] 给AI请个好私教:从“笨学生”到“优化大师”的养成记](https://image.xyzcdn.net/FuDP4HpAp8ezgVZMmEel3mblKCmJ.jpg@small)