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.
Виктория Кондратьева (Редактор отдела «Мир»)
。WPS官方版本下载对此有专业解读
增长6.1%！2025年，我国出口顶住逆风逆流，保持增长态势。其中，高技术产品、“新三样”产品出口同比分别增长13.2%、27.1%，自主品牌产品出口增长12.9%。稳量提质的“密码”，正是源自我国推进高水平对外开放。
Consider the size of the group