Author(s): Shinji Sakane, Tomohiro Takaki
这一转变，具体体现在对下沉市场的数字化基建、对中小商户的运营赋能，以及以前沿技术弥合服务鸿沟三个维度上。，更多细节参见heLLoword翻译官方下载
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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.