Fundamentals of GenAI (30%)
Model Limitations
KEY CONCEPTS
- →Hallucinations: Generating false but plausible information
- →Knowledge cutoff: Temporal limits of training data
- →Data bias: Prejudices from training data
- →Edge cases: Rare scenarios causing errors
- →Fairness: Ensuring equitable treatment of users
WHAT THE EXAM IS REALLY TESTING
Understand limitations to know when AI is NOT the right solution. Exam tests awareness of risks.
COMMON TRAPS
- !Thinking hallucinations can be fully eliminated
- !Ignoring bias when it seems 'minor'
- !Assuming more data always fixes fairness issues
OFFICIAL DOCUMENTATION
PRACTICE QUESTIONS
3 questions available for this topic
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