GIGAZINE

日本語を高速生成できる拡散言語モデル「ELYZA-LLM-Diffusion」が登場

東京大学の松尾研究室から発足したAI開発企業のELYZAが日本語特化拡散言語モデル「ELYZA-LLM-Diffusion」を2026年1月16日に公開しました。既存の言語モデルで主流な自己回帰モデルではなく画像生成AIで発展した拡散モデルを採用しており、計算コストを抑えた ...
GIGAZINE

Introducing 'ELYZA-LLM-Diffusion,' a diffusion language model that can generate Japanese ...

ELYZA, an AI development company established by the Matsuo Laboratory at the University of Tokyo, released a Japanese-specific diffusion language model, ' ELYZA-LLM-Diffusion,' on January 16, 2026.
Business Wire

Inception Raises $50M to Power Diffusion LLMs, Increasing LLM Speed and Efficiency by up to ...

New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...
VentureBeat

Beyond GPT architecture: Why Google's Diffusion approach could reshape LLM deployment

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 ...
Business Wire

Inception Launches Mercury 2, the Fastest Reasoning LLM — 5x Faster Than Leading Speed ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and ...
TechCrunch

Inception raises $50 million to build diffusion models for code and text

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 ...