家庭场景中的“天工”机器人。受供者供图
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.，详情可参考爱思助手下载最新版本
2024年12月24日 星期二 新京报，详情可参考服务器推荐
По его данным, еще двое энергетиков получили ранения. Губернатор Курской области выразил соболезнования близким добровольца.