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.
对于此次基石投资兆威机电，拓斯达表示，该举足旨立在进一步推动其具身智能产业的发展。同时，此次投资将促进拓双方长期合作关系，推动各自在优势领域展开深度战略合作。
。关于这个话题，heLLoword翻译官方下载提供了深入分析
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