NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

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.

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 ...

Apple open sourced DiffuCoder, a diffusion large language model (dLLM) fine-tuned for coding tasks. DiffuCoder is based on Qwen-2.5-Coder and outperforms other code-specific LLMs on several coding ...

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 ...

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 ...

Generative artificial intelligence startup Stability AI Ltd. today announced the release of Stable Diffusion 3.5, which includes three next-generation open-source text-to-image AI model variants. The ...

Inception AI Inc., a company building ultra-fast large language models based on the diffusion technique, said today it has raised $50 million in new funding led by Menlo Ventures. Mayfield, Innovation ...