Hallucination Mitigation Paths

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Explore multiple hallucination mitigation strategies.

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Reduce hallucinations in {{model}} for {{knowledge_domain}}.

Path A - Retrieval augmentation:
- Add {{knowledge_base}} retrieval
- Measure hallucination reduction
- Evaluate latency and cost impact

Path B - Confidence calibration:
- Request uncertainty estimates
- Filter low-confidence claims
- Measure coverage vs. accuracy

Path C - Verification layer:
- Add fact-checking model
- Measure hallucination catch rate
- Evaluate throughput impact

Compare paths and design combined mitigation system.

Details

Category

Analysis

Use Cases

Hallucination reductionMitigation designAccuracy improvement

Works Best With

claude-opus-4.5gpt-5.2gemini-2.0-flash
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