AI Associate AI Fundamentals Practice Question
What does the term 'hallucination' refer to in the context of generative AI?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The model produces outputs that are not grounded in the training data or reality
Hallucination is when a generative AI model produces content that is factually incorrect or nonsensical but presented as if it were true.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model only works when the user prompts it with specific keywords
Why it's wrong here
That describes prompt dependency, not hallucination.
- ✗
The model has a bug in the training algorithm
Why it's wrong here
Hallucination is a known behavior, not a bug per se.
- ✗
The model generates creative but accurate content
Why it's wrong here
Hallucination is about inaccuracy, not creativity.
- ✓
The model produces outputs that are not grounded in the training data or reality
Why this is correct
Correct: hallucination refers to fabricated or incorrect information.
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