The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now There is a lot of excitement around the ...

A 9-language interface and LLM Selector expand global accessibility while giving enterprises greater control over AI ...

Tyler Lacoma has spent more than 10 years testing tech and studying the latest web tool to help keep readers current. He's here for you when you need a how-to guide, explainer, review, or list of the ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful ...

SHANGHAI, Feb. 10, 2026 (GLOBE NEWSWIRE) -- Industry research platform VBData recently highlighted “XingShi” Large Language Model (“XS LLM”) from Fangzhou Inc. ("Fangzhou" or the "Company") (HKEX: ...

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 ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Every new large language model release arrives with the same promises: bigger context windows, stronger reasoning, and better benchmark performance. Then, before long, AI-savvy marketers feel a ...