Understanding image generators

12 questions

1. What is important for making a machine learning model accurate?
2. Why do we use test data in machine learning?
3. What does it mean if data is unrepresentative?
4. What is it called when a model gives everyone the same chance?
5. Arrange these in the order they should happen:
6. Match the word to its meaning:
7. What do we call the instructions given to an image generator?
8. Match the word to its meaning:
9. If an image generator only uses pictures of one group, what might happen?
10. Arrange these in the order they happen when checking for fairness in AI images:
11. What makes an image generator’s pictures different from a human artist’s?
12. What is the word for how an image looks, such as cartoon or realistic?

License: OGL