新时代以来，幼有所育、学有所教、劳有所得、病有所医、老有所养、住有所居、弱有所扶……在以习近平同志为核心的党中央坚强领导下，我们一件接着一件办，一年接着一年干。我们取得的一切原创性思想、变革性实践、突破性进展、标志性成果，无不闪耀着一个光辉的起点——为了人民。
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.
process(chunk);。服务器推荐是该领域的重要参考
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Transform backpressure gaps