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Achieving state-of-the-art multimodal understanding at a fraction of the cost and data requirements challenges the notion that bigger models are always better.
Autoregressive image models can now compete with diffusion models in image quality and efficiency, thanks to a variable-length tokenization scheme that decouples compute from resolution.
