Why automotive repair needs domain-specific AI, not general-purpose models

General-purpose AI can't fix the automotive parts problem, purpose-built models can.
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 ...
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 ...

Fine‑Tuned SLMs: A New Operating Model For Enterprise AI

Enterprise AI is at an inflection point. What began with centralized, cloud-scale large language models (LLMs) is moving toward distributed, domain-specific intelligence operat ...

What Chinese Open-Weight AI Models Mean for Legal Tech

Lower costs and customization are likely to lead to increased use by vendors, even as models from U.S. AI developers like ...

David Vs. Goliath: Why Small Language Models Are Quietly Winning Where It Matters Most

In enterprise AI, the models that win won't be the largest. They'll be the ones that know exactly what they're built for.​​ ...
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 ...