DifferenceLabs is an open research initiative focused on Diffusion Language Models (DLMs).
We explore diffusion-based approaches to language generation, where models generate full sequences in parallel through iterative denoising — instead of token-by-token like traditional autoregressive models.
This can lead to faster inference and better GPU utilization.
This org hosts research code, experiments, and supporting tools related to diffusion language modeling.