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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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基于宏观数据与微观调研,本报告识别出以下五个具备“高确定性、低初期投入、技术赋能”特征的方向:。safew官方版本下载是该领域的重要参考

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It emerged this week that Zimbabwe had halted negotiations with the US for $350m (£258m) of health funding, saying the proposals risked undermining its sovereignty and independence.