Loading activity…
@ssahoo_
Pioneering Diffusion LLMs | Team Lead @mbzuai - IFM | PhD @cornell
AI
A post celebrating the change thanks three people and links to more information about Uno.
AI
A prospective panelist said they looked forward to taking part in the COLM session that day.
AI
A user says many inference service providers have expressed interest in adopting Uno to speed up LLM inference.
AI
Uno’s developer says each layer has separate autoregressive and diffusion weights, enabling parallel sampling without changing the autoregressive output distribution.
AI
Subham Sahoo announces 2B MDLM, Duo and Eso-LMs models now on Hugging Face.
AI
Tweet shares arXiv paper on diffusion-augmented LLMs for parallel token sampling.