Google has released a comprehensive developer guide for DiffusionGemma, a text-generation model that uses masked diffusion rather than autoregressive next-token prediction. Unlike standard Gemma models, DiffusionGemma iteratively denoises a fully masked sequence to produce output, enabling a fundamentally different generation paradigm. The guide targets developers looking to integrate or experiment with diffusion-based LLMs using Google's tooling.
Google DeepMind officially launched Gemma 3n along with its developer guide. The Gemma series, as Google's open-weights model family, has long been a favorite…