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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.，更多细节参见heLLoword翻译官方下载
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（二）非正常损失的在产品、产成品所耗用的购进货物（不包括固定资产）、加工修理修配服务和交通运输服务；，更多细节参见heLLoword翻译官方下载