Hallucination

An AI hallucination is a factually incorrect response generated by an LLM, occurring when AI confidently produces fabricated or unfounded information.

What is an AI hallucination?

An AI hallucination is a plausible-sounding but factually incorrect, unfounded, or fabricated response generated by a large language model. Hallucinations occur when an LLM confidently produces information that appears credible but has no basis in its training data or contradicts established facts, essentially "making up" details to fill gaps in its knowledge.

Hallucinations present several key challenges:

Create plausible but factually incorrect information that misleads users
Appear confident and credible, making errors difficult to detect
Pose particular risks in high-stakes contexts requiring accuracy
Undermine trust in AI-generated search results and content

Techniques like Retrieval-Augmented Generation (RAG) help reduce hallucinations by grounding AI responses in verified external sources, but human oversight remains essential when using AI-generated content.

Learn more: Understand how to identify and mitigate AI hallucinations in our AI Hallucinations guide.

Ready to maximize your visibility everywhere your audience is searching?

Try Conductor free for 3 weeks

or schedule a demo