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.
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Details
Category
AnalysisUse Cases
Hallucination reductionMitigation designAccuracy improvement
Works Best With
claude-opus-4.5gpt-5.2gemini-2.0-flash
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