How do you prevent AI hallucination?

Common techniques include RAG (grounding answers in real documents), confidence thresholds (declining to answer when uncertain), citation requirements, and human-in-the-loop review for high-stakes responses.

Hallucination

Written by Max Zeshut

Founder at Agentmelt

When an AI model generates plausible-sounding but factually incorrect information. In agent contexts, hallucination is mitigated through RAG (grounding responses in your knowledge base), confidence scoring, and citation requirements. Critical in legal, healthcare, and finance agents where accuracy is non-negotiable.

Пример

A support agent invents a return policy that does not exist. RAG-based grounding prevents this by requiring the agent to cite specific knowledge base articles.

Часто задаваемые вопросы

How do you prevent AI hallucination?: Common techniques include RAG (grounding answers in real documents), confidence thresholds (declining to answer when uncertain), citation requirements, and human-in-the-loop review for high-stakes responses.

Связанные ниши

AI Legal Agent
AI Healthcare Agent
AI Finance Agent
AI Support Agent

Назад в глоссарий

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