that's much more useful for generalization and also building more efficient models compute power and as we progress in the last two three years we just have at we just where access to a lot more compute like TPU so I like big GPU rigs which have lots GPUs connected really with a really fast interconnect and therefore be able to train data data parallel model is much better and we're to train see that several weeks or basic training are usually producing much better results and also making fewer assumptions about the whole problem like