I might specify the order just classically right just one two three four five all right I'll predict the last two words I'll kind of mask them out right I give the model New York is and then I could let it predict a and then in the next step I'll give it New York is a and let it predict City cool so now if the pitfall is the word a here only has access to things before it and not to city itself City has access to everything all right so but then I continue training and the next set time this sample right it's in my data set