What is the difference between a parametric and a non-parametric model?

Parametric models assume a specific form for the underlying data distribution (e.g., linear regression, logistic regression), and the model is defined by a finite number of parameters.
Non-parametric models do not assume a specific data distribution and can adapt more flexibly to the data (e.g., k-NN, decision trees).