Quiz on Generative Artificial Intelligence

What does Generative AI refer to?

• Algorithms that generate new data resembling human-generated content

• Algorithms that classify data into categories

• Algorithms that only analyze existing data

• Algorithms that only work with labeled datasets

Which of the following is a type of learning model in AI?

• Supervised Learning

• Random Learning

• Static Learning

• Dynamic Learning

What is the main difference between Generative AI and Conventional AI?

• Generative AI creates new data, while Conventional AI analyzes existing data

• Generative AI only works with labeled data

• Conventional AI can generate new data

• Generative AI is slower than Conventional AI

What are GANs?

• Generalized Artificial Networks

• General Adversarial Networks

• Generative Adversarial Networks

• Generative Analytical Networks

What do Variational Autoencoders (VAEs) do?

• Learn the distribution of data to produce new data

• Only classify existing data

• Compress data without decompressing it

• Analyze data without generating new content

What is a key feature of Recurrent Neural Networks (RNNs)?

• They cannot predict future inputs

• They only work with static data

• They handle sequential data

• They are not used for text generation

What is the primary function of Autoencoders?

• To compress and then decompress data

• To analyze data without generating it

• To classify data into categories

• To only generate new data

Which of the following is an example of Generative AI in art?

• A sculpture workshop

• The Next Rembrandt project

• A traditional painting class

• A photography exhibition

What is a benefit of using Generative AI?

• It is always accurate

• It only works with existing data

• It eliminates the need for human creativity

• It can create unique content

What is a limitation of Generative AI?

• It is faster than human creativity

• It requires no data to function

• It is always beneficial

• It can create fake news or deep fakes