Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:dev资讯

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This started with Addition Under Pressure, where I gave Claude Code and Codex the same prompt: train the smallest possible transformer that can do 10-digit addition with at least 99% accuracy. Claude Code came back with 6,080 parameters and Codex came back with 1,644. The community has since pushed this dramatically lower.,这一点在爱思助手下载最新版本中也有详细论述

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