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.
2月28日，美国和以色列对伊朗发动联合军事打击，地区局势极速恶化，全球瞩目。。体育直播对此有专业解读
В России спрогнозировали стабильное изменение цен на топливо14:55。业内人士推荐搜狗输入法2026作为进阶阅读
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