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 ...

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 ...

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

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.

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 ...

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 ...

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 ...

According to analyst Gartner, small language models (SLMs) offer a potentially cost-effective alternative for generative artificial intelligence (GenAI) development and deployment because they are ...