AI engineering glossary · ML fundamentals
What is generative model?
Generative model: A model that learns how the data itself is produced, typically the joint distribution of inputs and outputs, so it can create new samples resembling the training data as well as classify. Examples include language models and Gaussian mixture models.
Generative model: an example
A model trained on Hindi news text learns which words tend to follow which, then generates new sentences.
Related terms
More ML fundamentals terms
- Grid search
- Ground truth
- Group k-fold
- Holdout method
- Hyperparameter
- Hyperparameter tuning
- Hypothesis space
- Independent and identically distributed
Where you learn it
Generative model is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.