
4.5 Mid-Unit Review
Authored by Morgan Fingerson
Computers
7th Grade
Used 6+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Generative AI systems can generate new content based on data provided to it.
True
False
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Generative AI systems cannot create new images.
True
False
3.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Which of the following types of content can be created by generative AI systems? (Select all correct answers.)
Text
Images
Video
Audio (sounds)
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
GAN stands for “Generative Adversarial Network”
True
False
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a GAN there are two algorithms at work – one is a “generator” (that creates new content to show) and the other is a “discriminator” (that decides if the content it sees is fake or real).
True
False
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If a generative AI system was never shown images of cats, it might have trouble generating new images of cats.
True
False
7.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Which of the following might happen if a GANs was trying to create a fake image of Mount Everest? (Select all that are true)
The generator algorithm creates new images of mountains to show the discriminator.
The discriminator algorithm judges each mountain image the generator algorithm presents and decides if it is a fake (or not).
A discriminator algorithm gives feedback to the generator algorithm on why it thought it was a fake (so the generator can improve).
The GANS would just be able to read our minds, see the image of Mount Everest in our imaginations, and create it!
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