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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，这一点在51吃瓜中也有详细论述
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He says that three things have allowed SpeedPro to stand out from the competition: growth, profitability and efficiency. “We run the company with the mindset that each one of the individual studio owners is their own business leader,” he says.。关于这个话题，91视频提供了深入分析
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