Recent advancements in training large multimodal models have been driven by efforts to eliminate modeling constraints and unify architectures across domains. Despite these strides, many existing models still rely on separately trained components such as modality-specific encoders and decoders. In a new paper JetFormer: An Autoregressive Generative Model of Raw Images and Text, a Google DeepMind research team introduces JetFormer, a groundbreaking autoregre