amount of their other equipment, and then likely make software changes, in order
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.
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“二三十岁的人会把ChatGPT当作人生导师之类的东西来用，老年人则会用ChatGPT来代替谷歌。”，推荐阅读快连下载安装获取更多信息
我的一位老师曾经建议：如果你能想象自己去做任何别的事，那你或许应该去做那件事。。关于这个话题，heLLoword翻译官方下载提供了深入分析