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
Detailed Solution & Conceptual Analysis
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.
Key Engineering Takeaway
In Generative AI, understanding the underlying mechanics of Generative AI is critical for writing performant, bug-free production code and passing rigorous technical architecture reviews.