Hallucination Estimator
Estimate hallucination risk in LLM-generated content
LOW Hallucination Risk
Based on content analysis
Risk Factors
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What are LLM Hallucinations?
Hallucinations occur when LLMs generate content that sounds plausible but is factually incorrect or fabricated. This is one of the most significant challenges in deploying AI systems, especially for factual tasks.
This estimator analyzes textual features correlated with hallucination risk. High specificity (dates, measurements, quotes) without hedging language suggests potential fabrication.
Risk Indicators
Specific Dates/Numbers
LLMs often hallucinate precise dates, years, and statistics. The Eiffel Tower was actually completed in 1889, not 1890.
Direct Quotes
LLMs frequently fabricate quotes. Always verify quoted text against original sources.
Hedging Language
Words like "approximately," "likely," or "may" indicate the model is less certain—actually a good sign.
FAQ
Can this detect all hallucinations?
No. This uses heuristics. True hallucination detection requires fact-checking against authoritative sources.
What's a safe risk level?
For factual content, anything above "low" warrants verification. For creative writing, higher scores may be acceptable.