 Artificial intelligence models are recently becoming very powerful due to the increase in the dataset size used for the training process and in computational power necessary to run the models. This increment in resources and model capabilities usually leads to a higher accuracy than smaller architectures. Small datasets also impact the performance of neural networks ... Meet MAGVIT: A Novel Masked Generative Video Transformer To... 