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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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发展如一幅壮阔图景，人间烟火气正是其中最美的风景。无尽的远方，无数的人们，以点滴新意，把这壮丽景象绣得日新月异，绣得热气腾腾，绣出了高质量发展的壮美前程。，更多细节参见WPS官方版本下载
between different operating systems.
AI-GENERATED IMAGE.，推荐阅读Line官方版本下载获取更多信息