在人工智慧日益普及的今天，許多使用者正努力從大型語言模型如 ChatGPT 中獲得最精確、最有效的回答。然而，使用者在撰寫提示詞時所使用的特定詞彙，可能正在無意中損害 AI 的回應品質。與普遍認為的 AI 理解能力無邊無際不同，AI模型對文字表達的精確度其實極為敏感。
綜合外媒報導，有別於關於 AI 禮貌行為或其運算消耗的討論，一個更實際且直接影響使用者體驗的因素，在於提示詞本身的結構與措辭，某些看似無害的詞語實際上會為 AI 的理解引入不確定性。
其中最常見且最具破壞性的詞彙，包括情態助動詞「Can」（可以）和「Could」（可能）。當使用者以「你能列出…嗎？」或「你能不能提供…？」的形式發問時，這種問句結構雖然在人類對話中表示禮貌或詢問能力，但在 AI 語境下卻增加了指令的不確定性。
相較之下，直接且果斷的指令，例如簡單地說「列出 2025 年圖書市場目前趨勢」，可以促使 AI 生成更直接、更精確的答案。這種差異強調了與 AI 溝通時，明確指示而非詢問能力的關鍵性。
除了「Can」和「Could」，應避免以下幾類詞彙，以優化與 ChatGPT 的互動：
猶豫不決的詞語：避免使用「也許」、「有可能」、「在某些情況下」、「一般來說」等詞。這些模糊的表達會削弱你期望獲得的直接和確定的答案。
多餘的詞語：刪除對資訊價值沒有貢獻的字眼，例如「只是」、「真的」、「實際上」、「基本上」、「有點」。這些詞語會使提示詞變得冗長且可能分散 AI 的注意力。
模糊的限定詞：避免使用缺乏上下文的詞語，如「很多」、「許多」、「最近」、「經常」。這些不具體的詞語會導致 AI 生成不夠精確或具體的回答。
過於謙遜或道歉的開頭：不要說「對不起，但是」或「我可能錯了，但是」。這類開頭可能會讓 AI 的回答顯得不那麼篤定。
掌握與 AI 互動的語言藝術，透過採取更果斷、簡潔、準確和直接的措辭，使用者可以顯著提升從 ChatGPT 獲得的回答品質。這些簡單的語言調整，是解鎖 AI 模型全部潛力的重要一步，讓 AI 更準確理解使用者的意圖，並提供更優質的協助。
文章截取自 Tech News 蘇治宏 想讓 AI 回答更精準？與 ChatGPT 溝通時，這些詞語千萬別用
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