Generative AI represents a cutting-edge domain within artificial intelligence that focuses on creating new and original content, such as images, text, music, and more. This quiz is designed to assess expert-level understanding of the concepts, techniques, and models used in generative AI.

Gen Ai Expert Quiz 9

Participants should have a strong grasp of advanced AI concepts, mathematical foundations, and the practical application of generative models to successfully complete this quiz.

1 / 10

Which dataset is commonly used to train large generative models like GPT?

2 / 10

What is the function of the decoder in the Transformer architecture?

3 / 10

What is a critical metric for evaluating generative text models?

4 / 10

Which generative model uses both forward and reverse processes for data generation?

5 / 10

In text generation, what does "nucleus sampling" (top-p sampling) achieve?

6 / 10

Which method improves GPT’s performance by iteratively refining model outputs?

7 / 10

What is the significance of token embeddings in transformer-based generative models?

8 / 10

Which activation function is typically used in VAEs for the latent space?

9 / 10

What is the primary innovation of DALL-E models?

10 / 10

Which of the following is a challenge in training GANs?

Your score is

The average score is 0%

0%

Leave a Reply