but there's obviously scope for future work you can but you can use bigger decoders more powerful posteriors you can think about how to do hierarchical Leyton's to learn covers and fine-grained features and discrete Leyton's like weak uva and also large scale training like slow models have been done like glow or focus bus so next let's cover implicit models but we look at general adversarial networks and just just basically what what's happening ganz though we also covered moment matching energy based models in