Using AI - Image Model 1-14

Which of the following is an example of AI in everyday life?

• Using a flashlight in the dark

• Phone unlocking through face scan

• Writing with a pen

• Switching on a fan

What does an AI Image Generation Model do?

• Memorizes and copies existing images exactly

• Creates new pictures based on descriptions

• Deletes unwanted images from a phone

• Only edits photos taken by humans

When Netflix recommends a show you might like, the AI is using:

• Image Generation Models

• Weather prediction algorithms

• Recommendation systems

• Facial recognition technology

Which statement best describes the “Generator” in a GAN?

• Judges whether images are real or fake

• Creates images that look realistic

• Stores training images

• Deletes fake images

In the GAN example, the “Critic” is similar to:

• A student who draws pictures

• A teacher giving homework

• An art critic giving feedback

• A computer storing images

Why does the AI model need a large and diverse training dataset?

• So it can memorize the same picture repeatedly

• To understand patterns and features from many examples

• To reduce computer memory usage

• To make training faster by using fewer images

Which of these is NOT a possible application of AI image generation?

• Designing new game worlds

• Advertising campaigns

• Cooking food

• Helping scientists visualize inventions

True or False: The generator in a GAN tries to trick the discriminator into thinking its images are real.

• True

• False

If you want an AI model to generate images of dogs, which is the BEST training approach?

• Train with only one picture of a dog

• Use images of many dog breeds in different settings

• Train only on cats and hope it learns dogs

• Avoid using real dog images

Imagine you type the prompt: “A mountain made of chocolate under a rainbow.” The AI creates the image. Which skill of AI is this demonstrating?

• Text translation

• Image recognition

• Image generation from description

• Speech recognition