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

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...

Stability AI says its open-source StableLM language model is the AI for the everyman, though it apparently fails at making a peanut butter and jelly sandwich. Reading time 3 minutes It seems like ...

In a new study, Apple researchers present a diffusion model that can write up to 128 times faster than its counterparts. Here’s how it works. Here’s what you need to know for this study: LLMs such as ...

On Wednesday, Stability AI released Stable Diffusion XL 1.0 (SDXL), its next-generation open weights AI image synthesis model. It can generate novel images from text descriptions and produces more ...

Last month, along with a comprehensive suite of new AI tools and innovations, Google DeepMind unveiled Gemini Diffusion. This experimental research model uses a diffusion-based approach to generate ...

On Wednesday, Stability AI released a new family of open source AI language models called StableLM. Stability hopes to repeat the catalyzing effects of its Stable Diffusion open source image synthesis ...

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...

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 ...