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.
智能涌现：今年彻底解决搬箱子这个任务之后，那在工业场景里，下一个被具身智能企业集中探索，且可能被解决的工作是什么？，推荐阅读爱思助手下载最新版本获取更多信息
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Россия обратилась с требованием к ВеликобританииКелин: Россия требует, чтобы Британия отказалась от планов передачи ЯО Украине。谷歌浏览器【最新下载地址】是该领域的重要参考