learning complexities and efficiencies of current models are you know one of the primary criticisms of modern supervised learning deep learning in particular is how data intensive it is so we really have to get that number down and this lecture is basically going to be discussing all the variety of methods that have been developed for using natural language that kind of is available beyond kind of the machine learning great data and unsupervised or scalable self supervised methods for hoping to somehow pre-trained do some