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.
Последние новости
。关于这个话题,新收录的资料提供了深入分析
2026-02-22 21:04:33 +01:00
型月曾在1999年冬季 Comic Market 上发行过了《月姬》的试玩软盘。由于当时的型月还是名不见经传的小工作室,因此仅有50份,并且没有再次发行过。虽然当年售价仅为100日元,但考虑到其少得可怜的数量,且是在27年前正式版发布前售出的,这份珍贵藏品可谓是无价之宝。
,详情可参考新收录的资料
公告显示,今年第一季度,沐曦股份预计实现营业收入4亿元至6亿元,同比增长24.84%至87.26%。,详情可参考新收录的资料
As a final tweak, I moved from 8 bit ansi colors like \x1b[38:5:161m to 4 bit colors like \x1b[31m. This restricts our color range, but it saves something like 6 bytes per color.