Hallucination
A hallucination is when AI states something incorrect as if it were true.
Plain English
A hallucination happens when the model gives a confident answer that is wrong, invented, or unsupported by the real context it should be using.
Why it matters here
In manufacturing, confident wrong answers can damage trust fast. That is why grounded context, review steps, and scoped workflows matter.
Picture it like this
Use simple language and analogies before technical phrasing takes over.
Analogy
The answer sounds smooth but is not actually tied to the correct source.
Like someone confidently quoting an outdated setup value from memory instead of checking the current print or work instruction.
Examples
Related links
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