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.
be integrated with various apps and platforms such as Microsoft Office,
。关于这个话题，夫子提供了深入分析
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到了葡萄牙語學習的第三天，結果顯示我的準確率穩定在 90% 到 100% 之間，而研究者告訴我這比典型的英語母語學習者更高（推測原因是我能運用已有語言知識）。我的大腦正透過觀察名詞與動詞在螢幕上反覆出現的頻率，逐步抽取意義。。搜狗输入法2026对此有专业解读