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Understanding Multi-Modal AI

Total questions: 27

Worksheet time: 2hrs 15mins

Name
Class
Date
1.

What does “multi-modal AI” mean?

a)

AI that only processes text

b)

AI that can use more than one type of input, like text, images, or audio

c)

AI that only works on smartphones

d)

AI that runs in multiple windows at once

2.

Which of the following is an example of a modality?

a)

Processor speed

b)

Text

c)

Wi-Fi connection

d)

Battery life

3.

Which of these is NOT a modality in AI?

a)

Images

b)

Sound

c)

Numbers

d)

Weather

4.

A voice assistant that listens to your speech and answers with spoken words uses which modalities?

a)

Text only

b)

Audio input and audio output

c)

Images only

d)

None of the above

5.

If an AI takes a photo of a dog and generates a sentence describing it, what is happening?

a)

Text-to-image generation

b)

Image-to-text processing

c)

Audio recognition

d)

Code compilation

6.

Which of the following would be an example of multi-modal AI in everyday life?

a)

A calculator app

b)

A music playlist shuffle button

c)

Google Lens translating signs in real time using the camera and text

d)

Turning your phone on silent mode

7.

Why is multi-modal AI considered more powerful than single-modal AI?

a)

It looks cooler

b)

It can combine different types of information for better understanding

c)

It runs faster on all devices

d)

It doesn’t need electricity

8.

What is the main challenge of building multi-modal AI?

a)

Making the user interface

b)

Combining and aligning different data types correctly

c)

Choosing a brand name

d)

Making it use less storage

9.

An AI that can watch a video, listen to the sound, and generate a summary is using how many modalities?

a)

One

b)

Two

c)

Three

d)

Four

10.

What is the difference between multi-modal AI and traditional chatbots?

a)

Traditional chatbots only use text, while multi-modal AI can use text plus images, sound, and more

b)

Multi-modal AI is always wrong

c)

Chatbots are faster

d)

Multi-modal AI doesn’t use computers

11.

Which of the following is a benefit of multi-modal AI in healthcare?

a)

Diagnosing by combining X-rays and doctor’s notes

b)

Making video games

c)

Tracking high scores

d)

Counting calories in a menu

12.

If an AI reads a book aloud to a visually impaired person, which modalities are used?

a)

Text input and audio output

b)

Video input and video output

c)

Touch input and touch output

d)

Image input and image output

13.

A self-driving car uses cameras, radar, and GPS. Why is this multi-modal AI?

a)

It is electric

b)

It uses more than one type of input to make decisions

c)

It has a nice screen

d)

It is faster than traditional cars

14.

What type of AI task is “image captioning”?

a)

Turning text into audio

b)

Turning images into text

c)

Turning audio into images

d)

None of the above

15.

Which is an example of text-to-image AI?

a)

DALL-E generating art from a written prompt

b)

Google Docs spell check

c)

Spotify shuffle

d)

Zoom video calls

16.

Which is an example of image-to-text AI?

a)

AI creating memes

b)

Reading a scanned PDF with OCR (Optical Character Recognition)

c)

Chatting with a bot

d)

Text-to-speech software

17.

If an AI can both translate speech into text and respond with spoken answers, what two tasks is it combining?

a)

Speech recognition and text-to-speech

b)

Data storage and Wi-Fi

c)

Audio compression and expansion

d)

None of the above

18.

Which of these apps uses multi-modal AI features today?

a)

Snapchat filters (face + text captions)

b)

TikTok auto-captions on videos

c)

Siri or Alexa voice assistant

d)

All of the above

19.

Why is multi-modal AI important for education?

a)

It can explain concepts using text, pictures, and audio together

b)

It makes tests harder

c)

It replaces teachers completely

d)

It reduces school lunches

20.

Which of these is the BEST description of the future of multi-modal AI?

a)

AI will only understand numbers

b)

AI will combine text, speech, images, and video for more natural human-like communication

c)

AI will not change from today

d)

AI will only run on supercomputers

21.

AI stands for:

a)

Artificial Intelligence

b)

Artifact Intelligence

c)

Artificial Interface

d)

Artifact Interface

22.

What can AI NOT do well?

a)

Learn on its own

b)

Be creative

c)

Analyze data

d)

Process information

23.

Machine Learning is a subset of Artificial Intelligence which allows a machine to make__________ by learning from experiences.

a)

preparation

b)

predictions

c)

testing

d)

precaution

24.

Machines can learn to perform better with experience.

a)

True

b)

False

25.

How does an AI device learn and think?

a)

It hacks our computer

b)

It accepts data and trains itself, then creates a model

c)

It hacks our brain

d)

None of the above

26.

True or False: Generally only one training cycle is required to build a perfect AI model.

a)

True

b)

False

27.

Which of these is NOT an AI technology

a)

Animation

b)

Facial Recognition

c)

Image recognition

d)

Robotics