How to make multiple agents work together like an elite team — autonomously dividing tasks, communicating efficiently, and collaborating seamlessly? The openJiuwen community released the latest version of JiuwenClaw, which adds support for AgentTeam — a multi-agent collaborative capability. It proposes that the next leap beyond Harness Engineering is Coordination Engineering. In in-depth tests, this team […]
The post Next Leap to Harness Engineering: JiuwenClaw Pioneers ‘Coordination Engineering’ appeared first on MarkTechPost.
Nadia Piet & Archival Images of AI + AIxDESIGN / AI Am Over It / Licenced by CC-BY 4.0 By Misia Temler, University of Sydney With so many artificial intelligence (AI) products on offer now, it’s increasingly tempting to offload difficult thinking tasks to chatbots, agents and other tools. As we chart this new technological […]
The Genesis Mission was launched by the Department of Energy seven months ago to propel the nation forward into the realm of AI for science and engineering. The mission is […]
The post Understanding Genesis Mission Core Components appeared first on AIwire.
Zillow Group's first-quarter shareholder letter made the company's strongest case yet for its transformation into an AI-powered real estate platform, citing AI-driven productivity gains, a new consumer search mode, and AI tools for agents and property managers. Revenue rose 18% to $708 million. Read More
The vendor’s new agents could find a home in big Wall Street firms, threaten mid-sized service providers and start to push entry-level finance jobs aside.
Agents….they sound great, but do these autonomous programs actually do what you want? Are they accurate? Are they reliable? Enter Legal Agent Bench by Harvey, ...
At first glance, Microsoft Foundry looks like a big grab bag of every AI-adjacent service that Microsoft has offered in the last decade, plus some new ones. In Microsoft’s own words, “Foundry consolidates several previous Azure AI services and tools into a unified platform” and “unifies agents, models, and tools under a single management grouping.”
Microsoft Foundry helps application developers to build and deploy agents, which may use models and tools. It also helps machine learning (ML) engineers and data scientists to fine-tune models, run evaluations, and manage model deployments. Finally, it helps IT administrators and platform engineers to govern AI resources, enforce policies, and manage access across teams. It isn’t quite a floor wax and a dessert topping, but it does try to serve three distinct audiences.
Key capabilities of Microsoft Foundry for building agents include multi-agent orchestration, workflows, a tool catalog, memory, knowledge integration, and publishing. Key cap