NVIDIA releases step-by-step guide for building multimodal document processing pipelines with Nemotron RAG, targeting enterprise AI deployments requiring precise data extraction. NVIDIA has published ...

Azure DevOps Server is now generally available, marking its transition to a production-ready on-premises offering for teams that need to self-host their DevOps platform. The GA release packages ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

It shouldn’t be a surprise that there’s a lot of Azure you can run on premises, thanks to platforms like Azure Stack. But there’s more to on-premises Azure than the familiar platforms and services.

Smart Task is an AI-based decision support engine for Azure DevOps pipelines. It helps pipelines make context-aware decisions at runtime - such as determining test execution strategy, choosing ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Microsoft delivers another internal AI tool for the rest of us that adds agents to workflows and site reliability engineering. Modern AI tools have been around for some time now, offering a wide ...

Always with you, building a more confident future—that’s MetLife’s purpose. As a global leader in the financial services industry that provides insurance, annuities, employee benefits, and asset ...

Update, May 11, 2025: This story, originally published May 9, has been updated with more details on the move towards greater cloud Common Vulnerabilities and Exposures (CVE) transparency by both ...

Evaluating LLMs has emerged as a pivotal challenge in advancing the reliability and utility of artificial intelligence across both academic and industrial settings. As the capabilities of these models ...