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English(EN) Does your AI feature ever say "I don't know"? (Friday AI question)

人工智能开发问题:不确定时是弃权还是猜测?

一项人工智能开发问题探讨了当人工智能功能缺乏足够信息时应如何回应。作者主张建立一个在证据薄弱时弃权回答的系统,而不是猜测,并将其与OpenAI关于幻觉的研究进行类比。这种方法包括明确允许模型声明它不知道,为弃权提供背景信息,并记录这些实例以识别知识差距。此外,分别评估人工智能响应的准确性、错误和弃权对于理解模型行为和防止偏向自信但错误的答案至关重要。 AI

影响 鼓励开发人员构建优先考虑准确性并承认不确定性而非自信猜测的人工智能系统,从而可能带来更可靠的人工智能应用。

排序理由 该项目是一篇讨论人工智能开发最佳实践并引用研究的观点文章,而不是宣布新产品或研究发现。

在 dev.to — LLM tag 阅读 →

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人工智能开发问题:不确定时是弃权还是猜测?

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该项目是一篇讨论人工智能开发最佳实践并引用研究的观点文章,而不是宣布新产品或研究发现。
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · M.T.Ramkrushna ·

    您的人工智能功能是否曾说过“我不知道”?(周五AI问答)

    <p>Friday AI Question. This week's question is one I think most teams never ask out loud:</p> <p><strong>When your AI feature doesn't know the answer, what does it actually do?</strong></p> <p>Pick one (and tell me in the comments):</p> <ul> <li> <strong>A)</strong> It always ans…