Welcome to the Generative AI Basics Quiz 3! 🤖
This quiz focuses on deepening your understanding of key generative AI topics, including GANs, VAEs, transformers, and diffusion models. Dive in and see how well you know Generative AI!

Generative AI Basics Quiz 3

This is the third quiz in the Generative AI Basics series. It contains 10 questions, including multiple-choice and true/false, to help you explore advanced concepts like GANs, VAEs, transformers, and diffusion models. Some questions may have more than one correct answer.

1 / 10

Diffusion models gradually add noise to data and then learn to reverse this process to generate new samples.

2 / 10

Which of the following are common tasks for Generative AI models?

3 / 10

Generative AI models like GPT-3 and DALL·E 2 are typically unsupervised or self-supervised learning models.

4 / 10

What is a key challenge when training GANs?

5 / 10

Which of the following is an advantage of using transformers in Generative AI tasks?

6 / 10

Which type of AI model is typically used to generate human-like dialogue in chatbots?

7 / 10

What is the primary goal of a Variational Autoencoder (VAE)?

8 / 10

Which of the following models is NOT commonly used in Generative AI?

9 / 10

Generative Adversarial Networks (GANs) consist of two networks known as the generator and discriminator.

10 / 10

GPT (Generative Pre-trained Transformer) is an example of a deep learning model for generating structured data like SQL queries.

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