你有没有想过,让AI变得更聪明,关键可能不是让它知道得更多,而是教会它如何更高效地“思考”?本期我们要聊的几篇最新论文,就深入到了AI的思维深处:从让AI懂得“选择性遗忘”以实现长时间推理,到揭开决定AI学习成败的三个神秘“开关”。我们甚至会看到,机器人是如何通过“自言自语”来规划复杂任务的。准备好一起探索AI大脑的内部运作机制了吗?我们马上开始!
如何让AI长时间思考,还不“累”?
给你一个确定性的菜谱,靠谱吗?
你关心的问题,AI能比专家更快找到答案吗?
拆开AI的“黑箱”,决定它聪明的三个开关
机器人会思考,需要分几步?
本期介绍的几篇论文:
[CL] Prefix Sliding for efficient test-time scaling
[Stanford University & University of California at Santa Barbara & University of Washington]
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[LG] Beyond Optimal Rates in Stochastic Optimization: Trajectory-Adaptive Stopping Rules
[UC Berkeley & PSL Research University]
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[AI] Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings
[Google Research]
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[LG] Demystifying Reinforcement Learning Post-Training of Language Models
[University of Washington]
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[RO] R^3: Training Robots to Reason in Natural Language via Reinforcement Learning
[Carnegie Mellon University (CMU)]
![[人人能懂AI前沿] AI的思考术:何时遗忘、何时停止、如何自言自语](https://image.xyzcdn.net/FqWpK8fpivLboaqBbRHUe_BCOvxu.png@small)