Why Fluent AI Can Still Hallucinate
Describe why hallucinations happen and how grounding lowers, but does not eliminate, the risk.
The danger is not that the model is confused. The danger is that it can be wrong in a polished voice. Teach A hallucination is generated content that is unsupported by the input or wrong against the facts. The problem is not limited to casual chat. Any system that generates fluent language can produce a statement that sounds reasonable while lacking evidence. RAG helps because it changes the input. Instead of asking the model to answer from memory, you provide retrieved source passages from a defined collection. The model can now anchor the answer in the passages. But two things…
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