Understanding Multi-Modal AI

What does “multi-modal AI” mean?

• AI that only processes text

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

• AI that only works on smartphones

• AI that runs in multiple windows at once

Which of the following is an example of a modality?

• Processor speed

• Text

• Wi-Fi connection

• Battery life

Which of these is NOT a modality in AI?

• Images

• Sound

• Numbers

• Weather

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

• Text only

• Audio input and audio output

• Images only

• None of the above

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

• Text-to-image generation

• Image-to-text processing

• Audio recognition

• Code compilation

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

• A calculator app

• A music playlist shuffle button

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

• Turning your phone on silent mode

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

• It looks cooler

• It can combine different types of information for better understanding

• It runs faster on all devices

• It doesn’t need electricity

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

• Making the user interface

• Combining and aligning different data types correctly

• Choosing a brand name

• Making it use less storage

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

• One

• Two

• Three

• Four

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

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

• Multi-modal AI is always wrong

• Chatbots are faster

• Multi-modal AI doesn’t use computers