"AI Overfitting, Hallucination, Spurious Correlations Fundamentals" focuses on common AI modeling issues and their consequences. Participants learn to identify and correct these problems through better data handling and model design. Cybersecurity concerns include adversarial inputs that exploit model weaknesses to produce false outputs. The course provides tools to defend against such manipulation, ensuring AI outputs remain reliable and secure.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
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