部分验证80% 置信事实精确时间
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
来源数
80%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
Four Core Modules of AI Agent Development: An Architecture Guide from Failure to Stable Deployment
bilibiliAIAgent应用开发2026/6/24
相关事实
已验证幻觉（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% 相似已验证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% 相似待验证Large language models generate code by completing the most statistically probable answer rather than admitting uncertainty, which causes hallucinations in code generation77% 相似
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