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.
南方人物周刊:《咸的玩笑》前后花了四年完成,考虑了很长时间才开始下笔?
。WPS官方版本下载是该领域的重要参考
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。同城约会对此有专业解读
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