The industry assumed that progress required building ever larger language systems capable of tackling every conceivable task. These Large Language Models (LLMs) became the default solution, attracting ...
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 ...
Amrit Jassal is the Chief Technology Officer (CTO) and co-founder of Egnyte, a leading cloud-based collaboration and governance platform. As the pre-training of foundation models confronts fundamental ...
Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives to traditional chatbots, with mounting concerns over AI safety, regulation ...
Cody Pierce is the CEO and founder of Neon Cyber. He has 25 years of experience in cybersecurity and a passion for innovation. Large language models (LLMs) have captured the world’s imagination since ...
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 increasingly complex hardware, and the behavior and interactions of both over ...
Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
Small Language Models (SLMs) are computationally efficient, easier to fine-tune, and can run on local hardware like smartphones, unlike LLMs. (Image generated by AI) In the Economic Survey 2026, the ...
For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, while providing substantial cost savings versus LLMs. Large language models ...