你是说Escher的画是 误导？
抄一段：）
What are hallucinations in AI?
AI hallucinations refer to the generation of outputs that appear coherent and relevant but are factually incorrect, misleading, or nonsensical. Hallucination in AI often stems from the model’s training data, which may be outdated, incomplete, or misinterpreted during the model’s learning process.
Hallucinations can be a particular issue with large language models because, although these models excel at generating human-like text, they do not have a built-in understanding of real-world data. The AI model generates information based on patterns it has seen in its training data, but without proper grounding, it may create plausible-sounding content that isn’t rooted in real-world knowledge.
