Small language models are maturing rapidly and can be a great place to begin your AI journey while staying cost-effective, ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

NimbleEdge, the on-device AI infrastructure company reshaping how intelligence runs on mobile, announced its collaboration with Microsoft to contribute in bringing Foundry Local to Android, revealed ...

Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...

Microsoft just released its latest small language model that can operate directly on the user's computer. If you haven't ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Small Language Models (SLM) are trained on focused datasets, making them very efficient at tasks like analyzing customer feedback, generating product descriptions, or handling specialized industry ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into ...

Fawad Butt has served as chief data officer at Kaiser Permanente, UnitedHealthcare and Optum, some of the largest healthcare organizations in the country. Today, he is CEO of Penguin Ai, a healthcare ...