English(EN) TIL: why do llms hallucinate? llms are trained to predict text; they don't check facts against the training data and have no knowledge; training data has gaps,

大型语言模型因文本预测设计和数据空白而产生幻觉

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-21 00:38

大型语言模型产生幻觉是因为它们被设计为预测文本，而不是对照其训练数据验证事实。它们的训练数据集常常包含空白、不一致和代表性不足的信息，导致生成不准确或虚构的内容。这种行为凸显了当前人工智能系统缺乏真正的知识或智能。 AI

影响解释了当前大型语言模型的一个核心局限性，影响用户信任和应用程序设计。

排序理由该条目解释了大型语言模型的一个已知行为，没有引入新的研究或发布。

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Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-05-21 00:38

TIL: why do llms hallucinate? llms are trained to predict text; they don't check facts against the training data and have no knowledge; training data has gaps,

TIL: why do llms hallucinate? llms are trained to predict text; they don't check facts against the training data and have no knowledge; training data has gaps, inconsistencies, and underrepresented topics. there is no intelligence in artificial intelligence 🙃 # ai # devlife # sof…

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TIL: why do llms hallucinate? llms are trained to predict text; they don't check facts against the training data and have no knowledge; training data has gaps,

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