Production deployment of LLMs requires stacking multiple techniques to mitigate hallucinations, specifically: RAG for knowledge grounding, uncertainty estimation for confidence scoring, self-consistency checking for validation, and real-time guardrails for critical applications.

Authors

• Person: Not available Organization: Zylos
  LLM Hallucination Detection and Mitigation: State of the Art in 2026

Sources

• LLM Hallucination Detection and Mitigation: State of the Art in 2026 zylos.ai Zylos via serper

Referenced by nodes (3)

• Large Language Models concept
• RAG concept
• uncertainty estimation concept