AI Fundamentals

What is artificial intelligence (AI)?

• A tool used only for automation

• A specific product like ChatGPT

• A field of study that includes machine learning and other technologies

• A type of search engine

Machine learning is best described as:

• A replacement for AI

• A subfield of AI focused on making predictions from data

• A type of programming language

• The same thing as deep learning

In your own words, how would you explain the difference between supervised and unsupervised learning?

True or False — Deep learning uses artificial neural networks inspired by the human brain.

• True

• False

The purpose of labeled data in training models is to understand and (a)   patterns.

Generative AI is used when the output is:

• A category label, like "spam" or "not spam"

• A number or percentage

• Something entirely new, like a paragraph or image

• An error report

What’s a quick way to recognize a generative AI tool?

• It creates text, images, audio, or video

• It only produces data visualizations

• It produces probability scores

• It only classifies existing data

Large language models (LLMs) are trained on large datasets and then:

• Re-written by smaller companies

• Fine-tuned for specific industries or uses

• Used only by developers

• Deleted

Fine-tuning a pre-trained model is like:

• Changing its name

• Resetting its memory

• Upgrading its design

• Teaching it a specialty like being a guide dog or police dog