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 does Generative AI focus on?

Generating new data from existing data

Classifying text into categories

Recognizing objects in images

Automating repetitive tasks

2 / 10

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

Annotating data for training

Choosing the best word or token at each step

Generating a random sequence of words

Selecting words from a distribution of possible words

3 / 10

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

CNN (Convolutional Neural Network)

SVM (Support Vector Machine)

RNN (Recurrent Neural Network)

GPT (Generative Pre-trained Transformer)

4 / 10

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

Transformer

Discriminator

Encoder

Generator

5 / 10

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

YOLO

LLaMA

CycleGAN

DALL·E

6 / 10

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

They process data sequentially

They are only used for image processing

They handle long-range dependencies in data

They use attention mechanisms

7 / 10

Which technique is used in Generative AI for image generation?

BERT

Diffusion models

LSTM

Variational Autoencoders (VAEs)

8 / 10

Which of the following are popular applications of Generative AI?

Text generation

Predicting stock prices

Image generation

Data augmentation

9 / 10

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

To detect sentiment in text

To recognize patterns in images

To predict the next token in a sequence

To detect anomalies in data

10 / 10

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

Summarize long documents

Generate new, realistic data

Translate languages

Classify data into different categories

Your score is

The average score is 50%

0%

Gen AI Basics Quiz 1

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