"I have had conversations with people where they're like 'manufacturing doesn't really exist in this country anymore'," she said.
For Jim Lovell, this was more than a childish lark.
。业内人士推荐服务器推荐作为进阶阅读
typical IBM terminology) showed whatever the computer sent as the body of a
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.