Understanding Vectors in AI

What is a vector in the context of AI?

• A type of image

• A list of words

• A list of numbers representing data

• A type of robot

What can vectors represent in AI?

• Only text

• Only images

• Only sound

• Any type of real-world data

Which of the following is an example of element-wise vector addition?

• Adding 2 to all elements

• Adding values at the same position in two vectors

• Reversing a vector

• Changing vector to image

What is the result of adding vectors A = [1, 2, 3] and B = [4, 5, 6]?

• [5, 5, 5]

• [4, 5, 6]

• [1, 2, 3, 4, 5, 6]

• [5, 7, 9]

What does AI use linear combination for?

• Coloring pictures

• Multiplying vectors only

• Giving weight to different features before combining

• Drawing graphs

In linear combination, what are α (alpha) and β (beta)?

• Vectors

• Images

• Words

• Weights (scalars)

Imagine a word like “cat” is turned into a vector: 🐱 → [0.8, 1.2, 0.6] What does this mean for AI?

• It draws the cat

• It sees “cat” as a list of meaningful numbers

• It ignores the cat

• It plays meow sounds

You love action movies and a bit of comedy. Netflix turns this into: [5, 0, 3]. Your friend loves drama and comedy: [0, 5, 3]. Which type of AI system uses these vectors?

• Face scanner

• Self-driving car

• Movie recommendation system

• Voice assistant

In facial recognition, how does AI identify a person?

• By checking their name

• By comparing images

• By comparing face vectors

• By guessing

What type of neural network is used in facial recognition?

• RNN

• CNN

• GAN

• LSTM