你有没有想过,为什么AI能从互联网的海量垃圾中炼出真金,而不是变成一个只会死记硬背的书呆子?当AI犯错时,我们是该让它闭嘴,还是有更聪明的办法让它学会“谦逊”?本期节目,我们将通过几篇最新的AI论文,揭示AI如何像一个并行专家团队一样解决难题,又是如何受困于一个惊人简洁的“瓶颈定律”,带你一窥AI大脑中那些优雅而深刻的学习法则。
最优解的密码,藏在并行的智慧里
AI怎么才能不说谎?答案藏在一种人类智慧里
AI训练场上的“隐形杀手”
AI怎么从一堆垃圾里炼出真金?
增长的瓶颈定律,规模不是优势,弱点才是关键
本期介绍的几篇论文:
[LG] Black-box optimization of noisy functions with unknown smoothness
[INRIA Lille & Google DeepMind]
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[CL] Hallucinations Undermine Trust; Metacognition is a Way Forward
[Google Research & Tel Aviv University]
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[LG] Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning
[Google Research]
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[LG] A Theory of Generalization in Deep Learning
[Stanford University]
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[LG] A Theory of Saddle Escape in Deep Nonlinear Networks
[UC Berkeley]
![[人人能懂AI前沿] 从并行智慧、元认知到瓶颈法则:洞悉AI的学习奥秘](https://image.xyzcdn.net/FqWpK8fpivLboaqBbRHUe_BCOvxu.png@small)