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

· · 来源:gen资讯

But those tricks, I believe, are quite clear to everybody that has worked extensively with automatic programming in the latest months. To think in terms of “what a human would need” is often the best bet, plus a few LLMs specific things, like the forgetting issue after context compaction, the continuous ability to verify it is on the right track, and so forth.

免去王祥喜的应急管理部部长职务。

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