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English(EN) Hehe. I asked Google's LLM which has been my northernmost fieldwork site. It confidently and incorrectly pointed out Sättuna. Because I wrote a paper about that

谷歌LLM错误识别用户最北野外考察地点

一位用户询问谷歌的LLM其最北的野外考察地点,模型错误地指出了Sättuna。LLM的错误源于用户曾写过一篇关于Sättuna的论文,其中提到一项发现是同类中最北的,这导致LLM基于其预测性文本生成而自信地给出了错误的答案。 AI

影响 凸显了LLM响应中潜在的不准确性,尤其是在依赖上下文线索而非事实回忆时。

排序理由 用户关于LLM错误的轶事,并非重大的行业事件。

在 Mastodon — fosstodon.org 阅读 →

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谷歌LLM错误识别用户最北野外考察地点

报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Hehe. I asked Google's LLM which has been my northernmost fieldwork site. It confidently and incorrectly pointed out Sättuna. Because I wrote a paper about that

    Hehe. I asked Google's LLM which has been my northernmost fieldwork site. It confidently and incorrectly pointed out Sättuna. Because I wrote a paper about that site whose title mentions that one of the finds is the northernmost of its kind. LLMs calculate what the next word shou…