Who needs a trillion parameter LLM? AT&T says it gets by just fine on four to seven billion parameters ... when setting up ...

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 ...

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 ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Zoe Thomas: Welcome to Tech News Briefing. It's Tuesday, July 9th. I'm Zoe Thomas ...

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 ...

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 ...

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 ...

H2O.ai Inc. on Thursday introduced two small language models, Mississippi 2B and Mississippi 0.8B, that are optimized for multimodal tasks such as extracting text from scanned documents. The models ...

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, known as SLMs, create intriguing possibilities for business leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniature versions of the ...

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 ...

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 ...