Hallucination
When an AI model produces output that sounds confident and plausible but is factually incorrect or fabricated.
In plain English
An AI hallucination is when a chatbot confidently says something that is simply not true. It can invent facts, names, or sources that look real but are made up.
Technical definition
A hallucination is an output from a generative model that is unfaithful to its training data, provided context, or factual reality. It arises because such models optimize for statistically likely continuations rather than verified truth, and is often mitigated with retrieval grounding and constrained decoding.
Business use case
Understanding hallucination helps businesses design safe AI workflows by adding source grounding, citations, and human review where accuracy is critical. This protects against publishing or acting on fabricated information in customer-facing or regulated contexts.
Example
Asked for a citation, a chatbot invents a realistic-looking research paper title, author, and journal that does not actually exist.
Frequently asked questions
An AI hallucination is when a model generates information that is false, fabricated, or not supported by its sources, yet presents it in a confident and convincing way.
Language models predict likely text rather than verify facts, so when they lack reliable information they may fill gaps with plausible-sounding but incorrect content.
Techniques include grounding responses in retrieved sources, asking the model to cite evidence, lowering creativity settings, and adding human review for high-stakes outputs.
Keep exploring
Large Language Model
A large language model is an AI trained on huge amounts of text so it can read your question and write a useful answer. It powers chatbots and writing assistants.
Retrieval-Augmented Generation
Retrieval-augmented generation lets an AI look up relevant facts before answering. Instead of relying only on memory, it pulls in the right documents and uses them to give a more accurate reply.
Generative AI
Generative AI is technology that makes brand-new content, like writing, pictures, or code, instead of just sorting or labeling existing data. You describe what you want, and it produces something original.
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