This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Jacksonville's NLP Logix is moving away from custom machine learning projects and toward a new business model focused on ...

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from “connected things” to “connected intelligence”, featured by ultra high density, large-scale, dynamic ...

Grant Schneider has led Upstart's Columbus operations since 2019 and the company's machine-learning development for a decade.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

Meet llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript Developers looking to gain a better understanding of machine learning inference on local hardware can fire up ...