00:00:36 AI“减肥”的秘密,被一个40年前的算法破解了
00:05:46 驯服AI的终极武器:不是模糊奖励,而是清晰清单
00:09:56 AI的“开窍”秘诀:如何教机器像高手一样思考?
00:14:53 给AI请个好私教的秘密
00:19:50 给AI画张图,它能看得更明白吗?
本期介绍的五篇论文:
[LG] The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
[ISTA & ETH Zürich]
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[CL] Checklists Are Better Than Reward Models For Aligning Language Models
[CMU & Apple]
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[LG] Revisiting LLM Reasoning via Information Bottleneck
[The University of Sydney & ByteDance]
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[CL] TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards
[EPFL]
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[LG] Does visualization help AI understand data?
[Harvard University]
![[人人能懂] 驯服AI的终极武器,藏在40年前的数学和一张图里](https://image.xyzcdn.net/FuDP4HpAp8ezgVZMmEel3mblKCmJ.jpg@small)