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.
在我们访谈具身智能公司“中科第五纪”期间，两件事情先后发生。
。关于这个话题，safew官方版本下载提供了深入分析
The website you are visiting is protected.
与 Kindle 的反射式墨水屏不同，智能手机的屏幕本身就是光源。
Pikachu and Poké Ball