there's this recurrent neural tenser Network paper from a searcher at all very early do planning work here with a you know really cool complex model and we were able to imagine it with just ten labeled examples whereas it was trained on all 8,000 in this case and then as we kind of keep adding more and more data we see that the representations learned by these language models can be quite powerful and you're kind of able to like quickly sweep through kind of in the limit you know if you don't have any pre training you started getting into these