22:24, 27 февраля 2026Мир
In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
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Трамп высказался о непростом решении по Ирану09:14
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Now, OsmAnd performs another Dijkstra search, but this time on the much smaller "base graph." This graph consists only of the border points and the pre-calculated shortcut values between them.。服务器推荐是该领域的重要参考
18:25, 27 февраля 2026Наука и техника