Quiz: Do you know the basics of generative AI?

1. What is generative AI?

A tool for data analysis
A form of AI that generates content
Software for network security

2. What technique do most generative AI models use?

Neural networks
Linear regression
Decision tree methods

3. Name a popular model of generative AI for text generation.

GPT (Generative Pre-trained Transformer)
SVM (Support Vector Machine)
CNN (Convolutional Neural Network)

4. For which task could generative AI NOT be directly used?

Generating random numbers
Writing articles
Generating artworks

5. What does "training" mean in the context of generative AI models?

Processing large amounts of data to recognize and replicate patterns
Programming software code
Installing the AI on a server

6. What role does "Deep Learning" play in generative AI models?

It is a key technology that enables models to learn complex patterns in data
A method to improve hardware efficiency
An algorithm for fast data processing

7. How do generative AI models differ from discriminative models?

Generative models can generate new data points, discriminative models classify given data
Generative models are faster
Generative models are easier to program

8. Which generative AI model is commonly used for image generation?

GAN (Generative Adversarial Network)
LSTM (Long Short-Term Memory)
PCA (Principal Component Analysis)

9. What is a "Transformer" in the context of AI?

A model type used for tasks like translation and text generation
A hardware component in computers
A data encryption technique

10. What are some ethical concerns with the use of generative AI?

Potential generation of misleading information and violation of copyrights
Increase in energy efficiency
Improvement of user-friendliness