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1983年5月19日，安德烈·塔可夫斯基（左）和法国导演罗伯特·布列松在第36届戛纳电影节上。两人凭影片《乡愁》（塔可夫斯基）和《钱》（布列松）共同获得最佳导演奖 图/视觉中国
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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.，更多细节参见一键获取谷歌浏览器下载
从实际出发，前提是要深入了解实际情况。
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