Not every bot is built the same, and your success in using AI is based on your ability to build a bot that meets your users’ ...

Apple scientists show LLMs rely on pattern recognition, lacking true reasoning—an illusion of intelligence rather than ...

More specialised, domain-specific versions of such models now exist for images, music, robotics, genomics, medicine, climate, ...

The continuous scaling of foundational AI models will be a tailwind for both cloud hyperscalers and companies licensing their ...

Since its first conference, in 1994, the Association for Machine Translation in the Americas (AMTA), the North American ...

As we've reported before, enterprise CIOs are taking generative AI slow. One reason for that is AI doesn't fit into existing ...

A simple change to the attention mechanism can make LLMs much more effective at finding relevant information in their context ...

Zyphra's Zyda-2 dataset is five times larger than the original Zyda and covers a vast range of topics and domains.

Tech giants are leveraging LLMs to make robots faster, smarter, and more cost-effective to deploy across industries ...

Groups using Google DeepMind’s LLMs made more progress in discussing contentious issues. But the technology won’t replace ...

With careful deployment, Large Language Models help agencies boost their efficiency and improve their data-driven insights.

To get ahead of the competition, developers need to find cost-efficient ways to enable the rapid, reliable, and secure ...