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TEACHBOT QUIZ

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

Which of the following applications is based on Generative AI?

a)

Google Translate

b)

Shazam

c)

Adobe Photoshop

d)

Spotify Wrapped

2.

What type of architecture underpins most state-of-the-art generative AI models like GPT and BERT?

a)

Neural Networks

b)

Convolutional Networks

c)

Transformers

d)

Decision Trees

3.

What is the key difference between zero-shot and few-shot learning in prompt engineering?

a)

Zero-shot involves providing no examples, while few-shot includes a few examples in the prompt to guide the output

b)

Zero-shot uses fewer training layers, while few-shot uses a small dataset for training

c)

Zero-shot focuses on error-free training, while few-shot allows minor errors in examples

d)

Zero-shot is used for testing, while few-shot is used for training.

4.

Why is prompt engineering important in generative AI?

a)

It reduces computational costs

b)

It ensures high-quality and relevant outputs

c)

It improves hardware performance

d)

It removes the need for training data

5.

What is the primary threat posed by deep fakes?

a)

Enhancing creative output

b)

Facilitating malicious activities like phishing and fraud

c)

Promoting AI explainability

d)

Improving video quality

6.

In Generative AI, which of the following is most commonly associated with text-to-image synthesis?

a)

Variational Autoencoders (VAEs)

b)

Generative Adversarial Networks (GANs)

c)

Latent Dirichlet Allocation (LDA)

d)

Convolutional Neural Networks (CNNs)

7.

What is a key technique used in Generative AI?

a)

Supervised learning

b)

Unsupervised learning

c)

Reinforcement learning

d)

All of the above

8.

What is an AI hallucination?

a)

Accurate AI-generated content

b)

Plausible but inaccurate AI output

c)

A deep fake

d)

A model's inability to generate outputs

9.

Which of the following can improve results in prompt engineering?

a)

Making prompts longer and highly descriptive

b)

Using clear and specific instructions

c)

Randomly changing words in the prompt

d)

Avoiding context in prompts

10.

In the context of generative AI, what is a "temperature" setting?

a)

Controls the randomness of the model's output

b)

Measures the processing power used by the model

c)

Indicates the speed of model training

d)

Tracks the accuracy of the model

11.

Which of these Generative AI models is used to transform text descriptions into images?

a)

BERT

b)

GPT-3

c)

VAE

d)

DALL·E

12.

What does the term "latent space" refer to in VAEs?

a)

The final layer where data is generated

b)

A compressed representation of input data

c)

The space where training data is stored

d)

The space used to compute loss functions

13.

How do apps use Generative AI to enhance user photos with features like filters?

a)

By manually applying pre-designed filters

b)

By automatically generating new filters based on user interactions and image processing

c)

By suggesting filters based on the content of the image and user preferences

d)

By applying static image effects without AI

14.

Which of the following is an example of an AI system using the wrong data to give a correct but irrelevant result?

a)

A recommendation system suggesting a movie based on the user's past activity

b)

A voice assistant answering a question using outdated information

c)

A weather app showing the correct temperature but for the wrong city

d)

A navigation app providing the correct route to a destination

15.

Which major technology company recently collaborated with Meta to integrate generative AI features into its tools for enterprise users?

a)

Google

b)

Microsoft

c)

Apple

d)

Amazon