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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.。heLLoword翻译官方下载对此有专业解读
Hurdle Word 2 AnswerPOLIO。业内人士推荐91视频作为进阶阅读
Anthropic 内部很早就意识到，训练 AI 模型光靠网络上的内容不够用。，更多细节参见同城约会
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