Quiz on Generative AI

What is generative AI focused on?

• Developing hardware

• Improving internet speed

• Analyzing data

• Creating computer models

What are the two main techniques used in generative AI training?

• Generative Adversarial Networks and Variational Autoencoders

• Neural Networks and Decision Trees

• Clustering and Regression

• Support Vector Machines and Random Forests

What are the two components of a GAN?

• Trainer and Tester

• Input and Output

• Encoder and Decoder

• Generator and Discriminator

What does the generator in a GAN do?

• Produces creative output

• Stores information

• Critiques the output

• Collects data

What is the role of the discriminator in a GAN?

• Simplifies input data

• Generates random data

• Creates training data

• Judges the generator's results

What type of input does a GAN accept?

• Noise and real data

• Text and images

• Audio and video

• Structured and unstructured data

What is the goal of the encoder in a VAE?

• To simplify the input

• To store data

• To generate random outputs

• To critique the output

What does the decoder in a VAE do?

• Creates an original output

• Generates noise

• Judges the input

• Collects training data

What is a potential benefit of generative AI?

• Decreased creativity

• Increased productivity

• Less reliance on technology

• More deep fakes

What is a concern regarding generative AI?

• Dependence on AI

• Improved creativity

• Enhanced productivity

• Better data analysis