ended3월 28일· 1 sources

Beyond Hallucinations: Reframing AI Failures for Better Diagnosis

AI의 모든 오류가 환각은 아니다: 올바른 진단이 필요한 이유

Why it matters

The term 'hallucination' has become a catch-all label that obscures the real causes of AI failures, each requiring different solutions. Distinguishing true hallucinations from omitted scope, default fill-ins, and blended inference is essential because each failure type needs a specific fix. This precise diagnosis enables better prompt engineering and more reliable AI systems.

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AI hallucinationOmitted scopeBlended inferenceDefault fill-inVDG

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