Computer Forum
DiffusionGemma: This is what parallel text diffusion brings for local inference
The release of DiffusionGemma introduces an experimental approach to text generation that moves away from the sequential, token-by-token processing typical of autoregressive Large Language Models (LLMs). By using text diffusion, this 26 billion Mixture of Experts (MoE) model can generate entire blocks of text simultaneously, significantly reducing the latency of local deployments.
