A comprehensive new review traces how diffusion models, the generative engines behind modern image synthesis, have become the ...
A self-supervised diffusion model generates realistic, road-compliant vehicle trajectories using only aggregated surveillance ...
All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...
Diffusion transformers use transformer backbones inside diffusion-style generative processes, modeling noisy image, video, or ...
Inception's Mercury 2.5 diffusion model delivers 1,107 tokens per second with a 40% intelligence boost, challenging GPT-5.6 and Gemini at a ...
What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.
Inception’s Mercury 3 diffusion LLM hits 1,068 tokens per second, offers 1M context, leads 8 of 12 benchmarks.
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