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I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
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siftDown(arr, i, 0); // 对剩余i个元素重新建堆
。关于这个话题，服务器推荐提供了深入分析
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