The new AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and first reasoning dLLM. Mercury 2 ...

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 ...

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

Google at Google Cloud Next 24 unveiled three open source projects for building and running generative AI models. The company also introduced new large language models to its MaxText project of ...

There are many reasons that businesses may want to choose open-source over proprietary tools when getting started with generative AI. This could be because of cost, opportunities for customization and ...

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.

A little over a year after it upended the tech industry, DeepSeek is back with another apparent breakthrough: a means to stop current large language models (LLMs) from wasting computational depth on ...

Chaos-inciting fake news right this way A single, unlabeled training prompt can break LLMs' safety behavior, according to Microsoft Azure CTO Mark Russinovich and colleagues. They published a research ...