AI
Hallucination
When an AI model generates plausible-sounding but incorrect or fabricated information.
Why it matters
- Major reliability concern for AI applications
- Can cause user trust issues
- Requires specific mitigation strategies
When to use
- As a risk to consider in any LLM application
- When evaluating AI output quality
- When designing AI safeguards
Common mistakes
- Assuming AI outputs are always factual
- Not implementing fact-checking mechanisms
- Ignoring hallucination in evaluation metrics
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