version of this which is the skip grand model which given a central word of context tries to predict the window and so this uses kind of the more standard approach of like online training and it just streams over a bunch of examples of text you can use mini-batch training it looks like your standard algorithms now the same way I mentioned some tricks with like the using the log co-occurrence or a real waiting function you need those same kind of things here again many words span many different ranges of frequencies where you might