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大型語言模型的工作原理是將你的話語分割成稱為「詞元」(tokens)的小塊,然後利用統計方法分析這些詞元,從而得到適當的回應。這代表你說的每一個字詞,甚至是一個額外的逗號,都可能影響AI的回答。問題在於,這種影響幾乎無法預測。雖然已經有許多研究試圖從AI提示的細微變化中尋找規律,但大部分證據相互矛盾,結論也不明確。

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When you’re limited to testing two variables against each other at a time, it can take months to get the results you’re looking for. Evolv AI lets you test all your ideas at once. It uses advanced algorithms to identify the top-performing concepts, combine them with each other, and repeat the process to achieve the best site experience.

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