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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，更多细节参见51吃瓜
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Let’s be expressive!。safew官方下载对此有专业解读
第二百九十四条 时效因请求人提出履行请求、提起诉讼、申请仲裁或者被请求人同意履行义务而中断。
«Мы выбиваем из них всю дурь». Трамп рассказал о ситуации на Ближнем Востоке и назвал «колоссальную угрозу» со стороны Ирана07:11。搜狗输入法2026对此有专业解读