Google’s Diffusion Gemma introduces a bold shift in AI language modeling by adopting a diffusion-based architecture that processes tokens in parallel, rather than sequentially. As explained by Prompt ...

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

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

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

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

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...