Gen Ai Advanced Quiz 8 > Data AI Revolution

Gan Ai Advanced Quiz 8

The generator in GANs aims to create data that looks similar to the real data distribution. Its objective is to make the discriminator unable to distinguish between real and generated data.

1 / 10

What type of noise is typically used as input for GAN generators?

Gaussian noise

Uniform noise

Binary noise

Poisson noise

2 / 10

What does “positional encoding” in Transformers help with?

Handling long-term dependencies

Differentiating token positions

Reducing training time

Optimizing latent vectors

3 / 10

Which of the following techniques is used to address mode collapse in GANs?

Spectral normalization

Dropout

Wasserstein loss

ReLU activation

4 / 10

What is a key feature of autoregressive models like GPT?

Generating all tokens simultaneously

Predicting tokens sequentially

Using CNNs for text generation

Requiring labeled datasets for training

5 / 10

What is the role of the discriminator in a GAN?

Generate high-quality samples

Optimize reconstruction loss

Distinguish real data from generated data

Introduce variability in outputs

6 / 10

In Diffusion Models, what is the denoising process primarily used for?

Adding noise to the input

Optimizing latent representations

Improving gradient descent

Reversing the noise process to reconstruct data

7 / 10

Which of the following is a common problem in GAN training?

Overfitting

Mode collapse

Vanishing gradients

Exploding gradients

8 / 10

What does the KL-divergence term in a Variational Autoencoder (VAE) help achieve?

Minimize reconstruction error

Ensure the latent space follows a Gaussian distribution

Reduce overfitting

Increase generation speed

9 / 10

Which algorithm is used in Transformer-based models for sequence modeling?

LSTM

Attention mechanism

Convolutional layers

Principal Component Analysis

10 / 10

What is the main goal of the generator in a Generative Adversarial Network (GAN)?

Minimize the discriminator's accuracy

Generate data that is indistinguishable from real data

Classify real vs. fake data

Optimize the latent space distribution

Your score is

The average score is 40%

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Gen Ai Advanced Quiz 8

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