How to explain Gradient Boosting in an interview? • /r/MachineLearning

I'm having trouble preparing for a possible interview question in which I could be asked to explain Gradient Boosting. I think I can explain other machine learning algorithms relatively concisely and well enough so that I talk for no longer than a minute. I did some google searching on gradient boosting and all I could find were overly technical explanations. For example, in the link below, the first answer gives a good concise answer for adaboost but not gradient boosting.