Understand

Generative AI creates new content like text, images, and code.

Generative models learn patterns from huge datasets and then produce new, similar content. Large language models predict the next word to write text; image models generate pictures from descriptions. They generate plausible output, which is not always correct.

Analogy: Generative AI is like an improviser who has studied many songs and can compose a new one on request.

See It in Action

Kinds of generative output:

text  - articles, code, answers
image - art from a description
audio - voices and music

Try It Yourself

1. Try a text generator with a simple request.
2. Note one thing it did well.
3. Note one thing it got wrong.

Challenge

Use a generative tool and describe one strength and one weakness you observed.

Success condition: You can explain generative AI with a concrete example.