feedback often involved and sometimes your ensemble in predictions of three five or more laborers it's often a few hundred thousand examples is like a big data set especially for NLP in computer vision you sometimes see you know things like imagenet where they push that to a million or ten million but those are kind of afar outliers and you know very many canonical NLP datasets might only have five or 10,000 labeled examples so there's not really a lot of machine learning great data out there at least compared to what kind of the current