Category:
Category:
Hallucination-Mitigation Techniques
Category:
Evaluation & Quality
Definition
Methods used to reduce incorrect or fabricated LLM outputs.
Explanation
Hallucination mitigation involves combining grounding, verification, tool use, and structured prompting to reduce incorrect outputs. Techniques include: RAG, reranking, self-reflection, fact-checking layers, tool calling, policy filters, voting systems (self-consistency), and hybrid retrieval. Enterprises rely heavily on these methods for compliance-heavy use cases.
Technical Architecture
LLM → Grounding (RAG/Tools) → Verification Layer → Policy Filter → Final Output
Core Component
RAG, structured prompting, validators, retrievers, self-verification
Use Cases
Legal analysis, healthcare QA, enterprise copilots, analytics agents
Pitfalls
More layers increase latency; imperfect grounding still fails
LLM Keywords
Hallucination Mitigation, Grounded LLM, Fact Checking AI
Related Concepts
Related Frameworks
• Hallucinations
• RAG
• Verification
• Guardrails
• Hallucination-Mitigation Architecture