01版 - 实干担当 为民造福

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Овечкин продлил безголевую серию в составе Вашингтона09:40

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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.

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They all organize data by location so you can skip irrelevant regions, replacing "check everything" with "check the things that could possibly matter." That's what took us from a million comparisons to ten.

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