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

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

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

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

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

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Multi-modal models that can process both ...

Google has introduced DiffusionGemma, an experimental open-weight AI model that explores diffusion-based text generation.

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.

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

Ideogram 4.0 is the first open weight text to image model from Ideogram, with JSON prompting, native 2K output and best in ...