Partially Verified80% confidenceFactExact time
Model Hallucination refers to when large language models generate content that appears plausible but is actually incorrect, delivered with high confidence despite lacking factual support.
9
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
Four Core Modules of AI Agent Development: An Architecture Guide from Failure to Stable Deployment
bilibiliAIAgent应用开发6/24/2026
Related Claims
Verified幻觉（Hallucination）指大语言模型生成看似合理但实际错误或无依据的内容，是当前所有LLM的共性问题，根源在于模型本质上是基于概率的文本生成器而非知识检索系统87% similarVerified大模型幻觉是指语言模型生成看似合理但实际不正确或不存在的内容79% similarUnverifiedLarge language models generate code by completing the most statistically probable answer rather than admitting uncertainty, which causes hallucinations in code generation77% similar
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