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Artificial Intelligence Basics

Model Evaluation

Mastering judgment in evaluating AI models under ambiguity and real-world constraints.
Goal:
Learn how model performance is measured.
3Lessons
6Micro-lessons
AdvancedDifficulty
Lesson 1

Ambiguity in Metrics

How unclear metrics distort model evaluation.
Start2 Micro-lessons

Micro lesson 1
Metric Drift Under Pressure
Micro lesson 2
Ambiguous Success Criteria
Lesson 2

Trade-offs and Hidden Costs

Recognizing the cost of optimizing for one metric over another.
Start2 Micro-lessons

Micro lesson 1
Optimizing One Metric, Ignoring Others
Micro lesson 2
Short-Term Wins, Long-Term Losses
Lesson 3

Long-Term Consequences

Understanding delayed effects of evaluation choices.
Start2 Micro-lessons

Micro lesson 1
Delayed Feedback Loops
Micro lesson 2
Knowing When Not to Act