Published on: 2025-06-26 20:10:09
Google recently released Gemini Diffusion, which is impressing everyone with its speed. Supposedly they even had to slow down the demo so people could see what was happening. What’s special about diffusion models that makes text generation so much faster? Should every text model be a diffusion model, going forward? I previously wrote a simple explainer of diffusion models here. If you don’t have any intuitions about how diffusion models are different, I suggest starting with that. This post wil
Keywords: autoregressive diffusion model models token
Find related items on AmazonPublished on: 2025-06-27 06:10:09
Google recently released Gemini Diffusion, which is impressing everyone with its speed. Supposedly they even had to slow down the demo so people could see what was happening. What’s special about diffusion models that makes text generation so much faster? Should every text model be a diffusion model, going forward? I previously wrote a simple explainer of diffusion models here. If you don’t have any intuitions about how diffusion models are different, I suggest starting with that. This post wil
Keywords: autoregressive diffusion model models token
Find related items on AmazonPublished on: 2025-08-06 04:31:21
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models (dLLMs). While most attention has focused on autoregressive models like GPT, dLLMs offer unique advantages. Giving them strong reasoning skills could unlock new efficiencies
Keywords: autoregressive d1 dllms models reasoning
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