Among its collection of 2026 predictions in the AI space, GlobalData is anticipating that 2026 will be the year of ...

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 ...

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...

Microsoft just released its latest small language model that can operate directly on the user's computer. If you haven't followed the AI industry closely, you might be asking: what exactly is a small ...

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 shine for domain-specific or specialized use cases, while making it easier for enterprises to balance performance, cost, and security concerns. Since ChatGPT arrived in late 2022 ...

Microsoft improved Bing with new large language models (LLMs) and small language models (SLMs), which the company says helped to reduce latency and cost associated with hosting and running search.

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...

Large language models (LLMs) use vast amounts of data and computing power to create answers to queries that look and sometimes even feel “human”. LLMs can also generate music, images or video, write ...

Small Language Models (SLMs) are computationally efficient, easier to fine-tune, and can run on local hardware like smartphones.

Advanced AI gave way to Large Language Models, such as Megatron-Turing NLG, capable of executing a huge number of tasks. However, large-scale LLMs come with huge challenges that include high energy ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...