SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

AI systems still make surprisingly simple mistakes that persist even after extensive training. They also lack the ability to think logically or to truly ‘understand’ nested input. For Michael Hahn, ...

There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...

A new study reveals that the human brain processes spoken language in a sequence that closely mirrors the layered ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

This article is published by AllBusiness.com, a partner of TIME. A Large Language Model is a type of artificial intelligence model that uses machine learning techniques to process and generate human ...

The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform ...

Large language models have become the public face of artificial intelligence, but a growing group of researchers and practitioners argue that these systems are nowhere near genuine understanding.