What is Hallucination?
Artificial intelligence presents information that does not actually exist as if it were true.
Overview
It is a situation where artificial intelligence models sometimes become too confident and produce completely fabricated or false information. This occurs when the model breaks away from reality while trying to predict the next word based on probabilities rather than analyzing the data correctly.
How it works
The model fills in the gaps with its own logic when the connections it makes between the training data are weak or do not have enough information. While the resulting text may be grammatically perfect, it may be completely unfounded in content.
Where it is used
It occurs especially in academic research, when seeking medical advice, or when seeking information about current events. This risk exists in any productive AI output that is not based on reliable sources.
Commonly confused with
It is confused with lying, but artificial intelligence has no intention or consciousness; It just follows the possibilities.
Frequently asked questions
How do I prevent AI from making things up?
By instructing him to 'if you don't know, say you don't know' or by having him consult external sources through methods such as RAG.
Does every artificial intelligence hallucinate?
Yes, all major probabilistic language models carry this risk to a certain extent.
Related terms
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →