Unlocking Business Value With Open-Weight Large Language Models

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Android Police

Domain-specific Large Language Models (LLMs) explained

Alan is an experienced culture, commerce, and tech author with a background in newspaper reporting. His work has appeared in Rolling Stone, Paste Magazine, The Escapist, ESPN, PC Gamer, and a ...
EurekAlert!

Large language models: a new frontier in reliability systems engineering

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
SiliconANGLE

The next leap in AI: Tailoring language models for domain-specific applications

With OpenAI and ChatGPT creating that consumerization moment, artificial intelligence continues to be top of mind for enterprises when it comes to enhanced value addition. As a result, large language ...
VentureBeat

Beyond RAG: How Articul8’s supply chain models achieve 92% accuracy where general AI fails

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the race to implement AI across business operations, many enterprises ...
VentureBeat

Parallel Domain unveils Reactor, a generative AI-based synthetic data generation engine

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Synthetic data platform Parallel Domain ...
Computerworld

AI language models need to shrink; here’s why smaller may be better

Large language models (LLMs) used for generative AI tools can consume vast amounts of processor cycles and be costly to use. Smaller, more industry- or business-focused models can often provide better ...