2 articles
A breakthrough inference technique called LoPA lets large language models generate text three times faster by processing multiple tokens simultaneously. The plug-and-play method requires no additional training and has shown exceptional results across coding and reasoning tasks.
The new dLLM open-source library simplifies training and deployment of diffusion-based language models by consolidating fragmented workflows into a unified framework with integrated training, evaluation, and scaling tools.
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Saad Ullah
Eseandre Mordi
