Generative AI
Generative models produce text, images, audio and video that did not exist before. This course covers how they work, what they are good and bad at, and the practical and legal questions that follow.
What you'll learn
10 chapters, then the quiz
- 01What generative meansProducing, not classifying.
- 02Text generationNext-token prediction.
- 03Images and other mediaDiffusion and its relatives.
- 04Working with these toolsGetting useful output.
- 05What to expect it to get wrongPredictable failure modes.
- 06Customising a modelThree levels of effort.
- 07Tools and agentsLetting a model act.
- 08Copyright and licensingGenuinely unsettled.
- 09Provenance and trustWhen anything can be fabricated.
- 10Using it well at workWhere it pays and where it costs.
More ai & data tests
See all →- Easy
Understanding AI
What machine learning actually does, what a language model is, and where both fall down.
8 questions7 min - Medium
Data analysis
Averages, spread, correlation and the traps that make numbers say the wrong thing.
8 questions7 min - Medium
Machine learning basics
Training, testing and the workflow behind a model that actually works.
8 questions8 min