News

Beyond RAG: How Articul8’s supply chain models achieve 92% accuracy where general AI fails
Articul8's specialized models tackle complex industrial sequences where timing and order matter, challenging the ...
Enhancing AI Through Contextual Data: The Next Step for Large Language Models
The success of AI in real-world applications depends not just on advancements in model architecture but also on the robustness of contextual data management systems.
JavaScript’s Leading Role In Driving Enterprise AI Innovation: Enabling LLM Integration And Browser-Based AI
Here's a look at JavaScript’s renaissance—from being just a web application enabler to evolving into a powerful AI platform.
InfoWorld3d
Language models in generative AI – does size matter?
Large language models and small language models will play different roles in ensuring that we deliver valuable generative AI ...
Devdiscourse10h
Fraud detection, risk assessment and pricing lead AI use in insurance
The review identifies risk assessment and pricing as the top priorities for both academia and industry. In automotive ...
TechCentral1d
AI in the enterprise: why data (not demos) determines your ROI
Without the right foundations, you’re not investing in AI – you’re gambling on a trend, writes LSD Open's Deon Stroebel.
New Llama 4 AI Model 10 Million Token Context Window
Meta’s Llama 4 outpaces GPT-4.5 with groundbreaking long-context processing and multimodal support. Learn how it’s ...
RYT91d
Red Hat Boosts Enterprise AI Across the Hybrid Cloud with Red Hat AI
AI portfolio adds enhancements to Red Hat OpenShift AI and Red Hat Enterprise Linux AI to help operationalize AI strategies ...
AZoRobotics on MSN6d
What Happens When You Put ChatGPT-4 Inside a Robot? A Lot More Than You’d Expect
The ELLMER framework integrates GPT-4 and multimodal sensors, allowing robots to adaptively execute intricate tasks in ...