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.

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

In the world of artificial intelligence, the ability to build Large Language Model (LLM) and Retrieval Augmented Generation (RAG) pipelines using open-source models is a skill that is increasingly in ...

Amid the flood of AI-related announcements at Google’s I/O developer conference Tuesday was a brief demo that, although it didn’t get much stage time, has AI insiders buzzing. Gemini Diffusion, an ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

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 ...

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 ...

AI remains top of mind for many business and industry leaders, and the sector shows no signs of slowing down regarding investment and funding. Most recently, the generative AI startup Writer announced ...

If you are interested in learning more about how to benchmark AI large language models or LLMs. a new benchmarking tool, Agent Bench, has emerged as a game-changer. This innovative tool has been ...