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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十年後，我們兩房一廳的公寓塞滿了東西和兩個孩子，那天我決定必須把它清掉，真是令人傷感。它自從我離開大學後便積滿了塵埃，但同時也象徵著我曾經對語言學習的認真投入。。体育直播对此有专业解读
本报北京3月2日电 中共中央政治局委员、外交部长王毅2日同阿曼外交大臣巴德尔通电话。
17:35, 27 февраля 2026Из жизни