In Gradient Boosting, what type of model is typically used as the 'weak learner'?

Decision tree

Gradient Boosting typically uses shallow decision trees (often called 'stumps' if they have only one split). Each new tree is trained to predict the residual errors of the previous trees in the ensemble.