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Does this share techniques with Gemini Diffusion? https://blog.google/technology/google-deepmind/gemini-diffus...


The way I read the paper, "diffusion" was more of a metaphor - you start with the output of the LLM as the overview (very much _not_ random noise), and then refine it over many steps. However, seeing this, I wonder myself whether or not in-house they actually mean it more literally or have actually tried using it more literally.




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