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

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

To recognize patterns in images

To detect anomalies in data

To predict the next token in a sequence

To detect sentiment in text

2 / 10

What does Generative AI focus on?

Classifying text into categories

Recognizing objects in images

Generating new data from existing data

Automating repetitive tasks

3 / 10

Which technique is used in Generative AI for image generation?

LSTM

BERT

Diffusion models

Variational Autoencoders (VAEs)

4 / 10

Which of the following are popular applications of Generative AI?

Predicting stock prices

Image generation

Text generation

Data augmentation

5 / 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 use attention mechanisms

They are only used for image processing

6 / 10

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

Transformer

Discriminator

Generator

Encoder

7 / 10

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

DALL·E

YOLO

CycleGAN

LLaMA

8 / 10

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

Generating a random sequence of words

Annotating data for training

Selecting words from a distribution of possible words

Choosing the best word or token at each step

9 / 10

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

Summarize long documents

Generate new, realistic data

Classify data into different categories

Translate languages

10 / 10

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

CNN (Convolutional Neural Network)

RNN (Recurrent Neural Network)

GPT (Generative Pre-trained Transformer)

SVM (Support Vector Machine)

Your score is

The average score is 35%

0%

Gen AI Basics Quiz 1

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