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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減少美軍在歐洲駐軍並轉向聚焦中國
One of the dead was hit by the tram as it derailed while the second victim was a passenger, the city’s mayor, Giuseppe Sala, told reporters at the scene.