SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Tech Xplore on MSN
Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
Gensonix AI DB efficiency combined with the power of Meta's Llama 3B model and AMD's Radeon GPU architecture makes LLMs ...
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale faster.
Lorraine Roberte is an insurance writer for Investopedia. As a personal finance writer, her expertise includes money management and insurance-related topics. She has written hundreds of reviews of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results