Rocket Lab的财报即将公布,什么会让股价一飞冲天?

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「很多人認為,只要用一些神奇的詞語,就能讓大型語言模型解決問題,」美國范德比爾特大學(Vanderbilt University)研究生成式AI的電腦科學教授朱爾斯·懷特(Jules White)說,「但關鍵不在於用詞,而在於你如何從根本上表達你想要做的事情。」

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.,详情可参考heLLoword翻译官方下载

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This post is an expanded version of a presentation I gave at the 2025 WebAssembly CG meeting in Munich.

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