Gen Ai Expert Quiz 10 > Data AI Revolution

Gen Ai Expert Quiz 10

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.

1 / 10

In StyleGAN, which layer controls the “style” of the generated image?

Generator Input Layer

Mapping Network

Noise Injection Layer

Upsampling Layer

2 / 10

What does the “autoregressive” property in models like GPT refer to?

Predicting outputs independently

Predicting the next token based on previous tokens

Using a static sequence length

Parallel token prediction

3 / 10

Which of the following describes "diffusion models"?

Models that denoise corrupted input data

Models used for temporal data generation

Models that use adversarial training

Models based on convolutional layers

4 / 10

What is the primary advantage of Transformer architectures in generative models?

Better handling of temporal dependencies

Parallelizable computation

Reduced data requirements

Simpler training process

5 / 10

In GPT models, what is the main purpose of the Attention Mechanism?

To identify relationships between inputs and outputs

To process sequential data in order

To assign importance weights to tokens in context

To improve computational efficiency

6 / 10

What technique is commonly used to prevent mode collapse in GANs?

Using a larger dataset

Wasserstein GAN (WGAN)

Adding Dropout Layers

Batch Normalization

7 / 10

Variational Autoencoders (VAEs) aim to: **

Minimize reconstruction loss

Optimize latent space representation

Match latent space distribution to a prior

All of the above

8 / 10

What does the "latent space" in generative models represent?

The input feature space

A compressed representation of input data

The model’s output distribution

The activation of the final layer

9 / 10

Which of the following loss functions is commonly used in GANs?

Mean Squared Error

Cross-Entropy Loss

Wasserstein Loss

Hinge Loss

10 / 10

What is the primary architecture used in Generative Adversarial Networks (GANs)?

Convolutional Neural Networks

Transformer Networks

Discriminator and Generator

Recurrent Neural Networks

Your score is

The average score is 30%

0%

Gen Ai Expert Quiz 10

Related

Gen Ai Expert Quiz 9

Gen Ai Advanced Quiz 8

Gen Ai Advanced Quiz 7

Leave a Reply Cancel reply

A Deep Dive into Agents and Tools in Langchain: Simplifying AI-Driven Tasks

Unlocking the Power of Langchain: Exploring Prompt Templates and Chain Types

An Introduction to Langchain Framework: Simplifying LLM Applications

Exploring OpenAI Playground and Function Calling

Large Language Models (LLM)

Related

More Stories

Leave a Reply Cancel reply

You may have missed