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Медведев вышел в финал турнира в Дубае17:59
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.
各营收区间的研发强度则呈“金字塔”式负相关，即研发强度的最高值和中位数都随着营收规模的增长而递减。金字塔尖是那些营收万亿元级的巨无霸企业，它们的研发强度最高值和中位数分别仅为3.27%和2.08%；而金字塔底则是营收十万元级及以下的初创小公司，它们的研发强度中位数竟高达37446.12%，最高值甚至突破47441%。