AI Unit Review

What does "AI" stand for?

• Artificial Integration

• Automated Intelligence

• Automatic Integration

• Artificial Intelligence

What does the following definition describe?

The theory and development of computer systems able to perform tasks that normally require human intelligence.

• AI

• Machine Learning

What does the following definition describe?

Gives computers the ability to learn without being explicitly programmed.

• AI

• Machine Learning

Which of the following is NOT an example of AI technology?

• Wireless Speakers

• Self-Driving Cars

• Facial Recognition

• Large Language Model Chatbots

What is Computer Vision?

• A type of AI that allows computers to identify text and spoken language.

• A type of AI that allows computers to identify and understand images and videos.

• A type of AI that allows computers to process data in a way that is inspired by the human brain.

• A type of AI that allows computers to feel emotions and express them visually.

What is a Neural Network?

• A type of AI that allows computers to identify text and spoken language.

• A type of AI that allows computers to identify and understand images and videos.

• A type of AI that allows computers to process data in a way that is inspired by the human brain.

• A type of AI that allows computers to feel emotions and express them visually.

Which of the following chatbots we interacted with was a Large Language Model (LLM)?

• Eliza

• Alice

• Bard

• All 3 chatbots are LLMs

How is a Large Language Model (LLM) different from other chatbots?

• LLMs typically use the whole Internet as their dataset.

• LLMs typically create their dataset through gathering information from its users only.

• LLMs typically have a dataset that has been created by AI experts at MIT.

• LLMs are exactly the same as other chatbots.

Why are image generators (like the one we used in Canva) useful?

• They help you find images on the Internet.

• They remove watermarks on copyrighted images.

• They adjust the hue and saturation of exisitng images.

• They create images that do not exist.

Why can bias exist in AI?

• Because humans train the computers.

• Because the computer has so much access to information.

• Because the computer has real feelings and thoughts.

• Bias does not exist in AI.