In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

AI systems still make surprisingly simple mistakes that persist even after extensive training. They also lack the ability to ...

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) ...

India has nearly 1.4 billion people and is one of the most linguistically diverse countries in the world, with more than ...

Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by ...

The AI landscape in 2025 is dominated by cutting-edge Large Language Models (LLMs) designed to revolutionize industries.

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

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 ...

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 ...

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...