[人人能懂] 思考的价值、地图的力量、垃圾数据的代价
Description
想知道如何让AI的学习效率提升三倍吗?本期节目,我们将一起探索如何教AI学习“解题思路”而不只是答案。接着,我们会揭开一张能反向破解AI秘密的“数据地图”,并看看顶尖AI在被喂了“垃圾食品”后,是如何跌下神坛的。最后,我们将见证一位AI“宗师”如何指点“专家”,在浩瀚的基因宇宙中找到商业宝藏。准备好了吗?让我们一起出发!
00:00:34 最好的学习资料,不只是答案,更是思路
00:06:02 AI侦探的新工具:不是靠蛮力,而是靠一张“地图”
00:12:19 喂AI“垃圾食品”,它会变得多“不靠谱”?
00:17:28 在“基因宇宙”里,如何找到“买尿布就买啤酒”的秘密?
本期介绍的几篇论文:
[CL] Thinking Augmented Pre-training
[Microsoft Research]
https://arxiv.org/abs/2509.20186
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[LG] Generative Model Inversion Through the Lens of the Manifold Hypothesis
[Hong Kong Baptist University]
https://arxiv.org/abs/2509.20177
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[CL] How Much of Your Data Can Suck? Thresholds for Domain Performance and Emergent Misalignment in LLMs
[Invisible Technologies]
https://arxiv.org/abs/2509.19325
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[LG] Discovering Association Rules in High-Dimensional Small Tabular Data
[University of Amsterdam & Amsterdam University Medical Center]
https://arxiv.org/abs/2509.20113