Gen AI Basics Quiz 1 > Data AI Revolution

Gen AI Basics Quiz 1

This quiz is designed for those new to Generative AI. You'll be tested on the basics of models like GPT and GANs, applications like text and image generation, and key concepts in this fascinating AI field. With 10 questions in total, get ready to explore how machines can generate data that looks or sounds just like human-created content!

1 / 10

Which model is widely known for generating human-like text?

GPT (Generative Pre-trained Transformer)

RNN (Recurrent Neural Network)

CNN (Convolutional Neural Network)

SVM (Support Vector Machine)

2 / 10

What is the primary purpose of GANs (Generative Adversarial Networks)?

Translate languages

Generate new, realistic data

Classify data into different categories

Summarize long documents

3 / 10

Which of the following is true about Transformer models in Generative AI?

They use attention mechanisms

They handle long-range dependencies in data

They are only used for image processing

They process data sequentially

4 / 10

In text generation, what does the term 'sampling' refer to?

Generating a random sequence of words

Choosing the best word or token at each step

Selecting words from a distribution of possible words

Annotating data for training

5 / 10

What is the purpose of 'autoregressive' models like GPT?

To predict the next token in a sequence

To detect sentiment in text

To recognize patterns in images

To detect anomalies in data

6 / 10

Which of the following models is used for generating realistic images?

DALL·E

YOLO

CycleGAN

LLaMA

7 / 10

Which of the following are popular applications of Generative AI?

Text generation

Predicting stock prices

Data augmentation

Image generation

8 / 10

Which of the following are components of a Generative Adversarial Network (GAN)?

Encoder

Discriminator

Transformer

Generator

9 / 10

What does Generative AI focus on?

Automating repetitive tasks

Classifying text into categories

Recognizing objects in images

Generating new data from existing data

10 / 10

Which technique is used in Generative AI for image generation?

BERT

Variational Autoencoders (VAEs)

Diffusion models

LSTM

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Gen AI Basics Quiz 1

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