Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a process known as diffusion. For years, applying that same principle to text generation had remained out of reach at scale. Standard language models work like a typewriter: one token at a time, left t
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VentureBeat
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