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 of the following are popular applications of Generative AI?

Image generation

Predicting stock prices

Text generation

Data augmentation

2 / 10

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

They process data sequentially

They handle long-range dependencies in data

They are only used for image processing

They use attention mechanisms

3 / 10

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

To predict the next token in a sequence

To recognize patterns in images

To detect sentiment in text

To detect anomalies in data

4 / 10

What does Generative AI focus on?

Classifying text into categories

Recognizing objects in images

Generating new data from existing data

Automating repetitive tasks

5 / 10

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

Annotating data for training

Selecting words from a distribution of possible words

Generating a random sequence of words

Choosing the best word or token at each step

6 / 10

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

Discriminator

Encoder

Generator

Transformer

7 / 10

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

Generate new, realistic data

Translate languages

Classify data into different categories

Summarize long documents

8 / 10

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

YOLO

LLaMA

DALL·E

CycleGAN

9 / 10

Which technique is used in Generative AI for image generation?

BERT

Variational Autoencoders (VAEs)

Diffusion models

LSTM

10 / 10

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

SVM (Support Vector Machine)

CNN (Convolutional Neural Network)

GPT (Generative Pre-trained Transformer)

RNN (Recurrent Neural Network)

Your score is

The average score is 34%

0%

Gen AI Basics Quiz 1

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