What term describes when a Large Language Model generates confident but factually incorrect information?
Answer options
A
Overfitting
B
Hallucination
C
Underfitting
D
Bias
Correct answer: Hallucination
Explanation
Quick AnswerThe correct answer is Hallucination because it directly addresses the core logic of Generative AI.
Hallucination in Large Language Models refers to the phenomenon where the model generates text that appears plausible but is factually incorrect or fabricated. This occurs because LLMs predict probable next tokens rather than verifying truth.