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.
可以断定,这风来自宇宙,来自地球四季轮替的铁律,尽管它悄然而至,却也挟带了无限辽远的信息:那是冰层坼裂的轰鸣,是万千根须在黑暗中摸索的窸窣,是无数生命在挣脱与拥抱之间那甜蜜的喘息。这春风,哪里仅是地理上的气流?它分明是时间本身最温柔的手,在徐徐推动着生的轮回。它将逝去的冬,酿成滋养新生的腐殖;它将枯寂的枝条,吹成待放的蓓蕾。在这永不停歇的循环中,生老病死的面目似乎并不那么可怖,它成了一个必要的休止符,一次深长的呼吸,一切的一切,无非都是为了下一句更嘹亮的歌唱。
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(四)在铁路、城市轨道交通线路上私设道口或者平交过道的。
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Meanwhile, she fears competition from the ranks of newly unemployed government workers.
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