it zero shot because and this is a broader you know we didn't invent zero shot by any means but it just means evaluating on a task or data set or a class that we've never seen before and we haven't done standard supervised learning to update the representations or to train the model to do this and so we see that kind of as you train you steadily improve performance we've normalized test performance so that zero is random guessing and one was the overall state of the art do you still see across the board that these models