It's just a word meaning AI gives wrong answer.
No, it’s more specific than just wrong.
Hallucination is when a model creates a bit of fictitious knowledge, and uses that knowledge to answer a question.
No, it’s more specific than just wrong.
Hallucination is when a model creates a bit of fictitious knowledge, and uses that knowledge to answer a question.
You can argue if it matters how a wrong answer came about ofc but there is a difference
You can still get that with zero bad labels in a supervised training set.
Multiple causes for the same behaviour makes progress easier, but knowing if it's fully solved harder.