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Google DeepMind's DiffusionGemma demonstrates that efficient text generation is possible by repurposing existing models, achieving high throughput with minimal training overhead.
Google DeepMind introduces DiffusionGemma, a 26 billion parameter open model using text diffusion to achieve up to 4x faster text generation on GPUs.
Google's new DiffusionGemma model generates text using a diffusion process, offering four times the speed of autoregressive models but at the cost of lower output quality.
