check-answer-consistency

LLM hallucination detection works by sampling the same prompt multiple times and measuring answer consistency. Low agreement across samples indicates potential misinformation or unreliable generated content.

Answer consistency scoring measures agreement across multiple LLM samples from the same prompt to assess AI reliability. High inconsistency signals potential hallucinations and unreliable generated content.

Run the provided Python script and pass your set of LLM answers as input. The script scores the consistency across multiple samples from the same prompt to detect potential hallucinations.

You need to assess LLM output reliability when evaluating complex answers for potential misinformation. Measuring response consistency across multiple samples helps ensure quality assurance in generated content.

Consistency scoring requires multiple samples from the same prompt and Python script execution. It identifies inconsistent responses but may not catch confident, consistent hallucinations that are factually incorrect.