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Generative AI Recap - M5

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Generative AI Recap - M5
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18 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is Generative AI?

AI that focuses on pattern recognition and prediction.

AI that only processes numerical data.

AI that creates new content such as text, images, music, and videos.

AI that is used solely for video games.

Answer explanation

Generative AI refers to AI that creates new content such as text, images, music, and videos, not AI used solely for video games.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the foundation of Generative AI?

Support Vector Machines

K-Nearest Neighbors

Decision Trees

Artificial Neural Networks (ANNs)

Answer explanation

The foundation of Generative AI is Artificial Neural Networks (ANNs), not Support Vector Machines.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What subset of machine learning uses neural networks with multiple layers to process large and complex datasets?

Reinforcement Learning

Supervised Learning

Unsupervised Learning

Deep Learning

Answer explanation

Deep Learning is the subset of machine learning that uses neural networks with multiple layers to process large and complex datasets.

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is NOT a type of generative model?

Decision Trees

Generative Adversarial Networks (GANs)

Transformer Models

Variational Autoencoders (VAEs)

Answer explanation

Generative Adversarial Networks (GANs) is NOT a type of generative model, as it is a type of discriminative model used for generating new data.

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In GANs, what is the role of the generator?

To distinguish fake data from real data.

To compress data.

To create fake data.

To decode data.

Answer explanation

In GANs, the role of the generator is to create fake data, not to distinguish fake data from real data, compress data, or decode data.

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is a prominent example of a Transformer model used for text generation?

LSTM

RNN

BERT

GPT (Generative Pre-trained Transformer)

Answer explanation

GPT (Generative Pre-trained Transformer) is a prominent example of a Transformer model used for text generation.

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which application of Generative AI involves creating realistic images from textual descriptions?

Video Synthesis

Image Creation

Text Generation

Music Composition

Answer explanation

The correct choice is Text Generation because it involves creating realistic images from textual descriptions.

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