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AI can feel like a maze sometimes. Everywhere you look, people on social media and in meetings are throwing around terms like LLMs, agents, and hallucinations as if it’s all obvious. But for most people, it just feels confusing. The good news is, AI isn’t nearly as complicated as it sounds once you understand the […] The post 10 Most Important AI Concepts Explained Simply appeared first on Analytics Vidhya.
Read full articleNadia 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 […]
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.
Anthropic announced “dreaming” for AI agents to sort through “memories” at its developer conference. Can we not?
Staff are often more willing than leaders to move quickly on AI and automation
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
OASYS enables agents to autonomously improve, potentially cutting down on development time and costs for enterprise customers.
