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.
Подъезд многоквартирного дома в Казани превратился в дворец Снежной королевы — вся лестничная клетка покрылась льдом. Об этом пишет Telegram-канал Mash Iptash.
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1985年10月1日，安德烈·塔可夫斯基在法国巴黎 图/视觉中国
月暗的规模就不是「可以忽略」了：340 万次交互，目标集中在智能体推理、、工具调用、代码与数据分析、computer-use 开发、计算机视觉等方向——这些方向当中，大部分都是 Claude 近期最受企业客户欢迎的能力组合。
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Opens in a new window。关于这个话题，heLLoword翻译官方下载提供了深入分析
相比企业数量，研发人员的总数扩张更快，从2021 年度的273.91 万人增加41.78%至388.35万人。不过，研发人员的增长数量在2023 年度之后却逐年递减，增幅依次为39.06 万人、26.62 万人和13.37 万人，折射出研发人力布局从“量”向“质”的过渡。