1L decoder, d=2, 1h, hd=2
16:22, 27 февраля 2026Интернет и СМИ
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:first-child]:h-full [&:first-child]:w-full [&:first-child]:mb-0 [&:first-child]:rounded-[inherit] h-full w-full
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.，推荐阅读夫子获取更多信息
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显然，投资者心里跟明镜似的：这不过是短期炒作，真要靠 “阴伟达” 翻盘，纯属痴人说梦。