DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...

The boffins on Google’s DeepMind team unveiled an experimental new language model this week that uses techniques originally ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using ...

DiffusionGemma generates text up to 4x faster than traditional models by producing entire blocks simultaneously, achieving ...

Designers, filmmakers, and game developers can now type a single sentence and receive a photorealistic image, a short ...

Most AI models are designed to be autoregressive—they generate text left to right one token at a time. DiffusionGemma has ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.

Google has unveiled DiffusionGemma, a new experimental AI model that generates text using diffusion ...

AI startup Stability AI continues to refine its generative AI models in the face of increasing competition — and ethical challenges. Today, Stability AI announced the launch of Stable Diffusion XL 1.0 ...