Artificial Intelligence MCQ Test 4

1. What is the primary objective of a variational autoencoder (VAE) in generative modeling?

2. What is the primary role of a gradient in gradient descent optimization?

3. What is the primary goal of model distillation in machine learning?

4. What is the role of a confusion matrix in machine learning?

5. Which algorithm is commonly used for solving regression problems?

6. What does SVM stand for in the context of machine learning?

7. What is the primary goal of artificial intelligence?

8. In AI, what does the acronym API stand for?

9. In natural language processing, what is tokenization?

10. What is the primary purpose of the F1 score in machine learning evaluation?

11. Which AI application involves training a model to make decisions without explicit programming?

12. Which AI technique involves the use of heuristics to solve problems?

13. In AI, what does NLP stand for?

14. In AI, what does the acronym CNN represent?

15. Which AI approach aims to mimic human intelligence by creating a virtual brain?

16. What does RNN stand for in the context of neural networks?

17. Which of the following is a common application of AI in everyday life?

18. In AI, what does the term 'reinforcement' refer to?

19. What is the primary purpose of feature scaling in machine learning?

20. Which algorithm is commonly used for gradient-based optimization in machine learning?