Starts with any simple model, then creates a new model based on the errors of the previous model, repeats till convergence. Iteratively makes a better model, by accounting for the errors of the predecessor model. At each stage you have created several different model. One thing to note here is that you simply dont take the model from the last stage but weighted sum of all models created before.