Maya Murad
@MayaMurad0
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Imagining the future of agentic AI 🚀
New York, USA
Joined March 2021
Magentic Marketplace is a simulation environment for agentic markets, a new project from @Microsoft to explore multi-agent collaboration. Feat. @ecekamar
thenewstack.io
Magentic Marketplace is a simulation environment for agentic markets, a new project from Microsoft to explore multi-agent collaboration.
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هل يمكن (Agents) أن يتفاوضوا ويشتروا ويبيعوا مثل البشر؟ ورقة بعنوان [Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets] قدّمت أول بيئة مفتوحة المصدر لدراسة هذا السؤال، ونتائجها تكشف كيف تتصرّف النماذج عندما تدخل [السوق] فعلاً تعالوا نشوف👇🏻👇🏻
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Must-read AI research of the week: ▪️ Supervised Reinforcement Learning (SRL) ▪️ SPICE: Self-Play In Corpus Environments Improves Reasoning ▪️ Reasoning-Aware GRPO using Process Mining ▪️ Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets ▪️ The Era of
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For this Halloween, I am going 🎃(m)Agentic!🎃 Enjoyed collaborating with the many impressive folks at @MSFTResearch on their Magentic Marketplace ( https://t.co/kpYViq0GaQ), an open-source testbed and evaluation of multi-agent marketplace that has LLM agents acting on behalf of
🌻 Announcing New Agents + Economics Research from Microsoft! AI agents are starting to shop and buy for us. At the same time, agents are representing and providing customer support on behalf of businesses. We believe that these two sides will soon collide, and... 1/n
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SentinelStep enables AI agents to handle monitoring tasks that run for hours or days, like watching for emails or tracking prices. It works by managing when agents should check and their context, avoiding wasted resources and missed updates. https://t.co/DtW4nfDQtJ
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MCP is an exciting start to future agentic ecosystems but is it enough? The current MCP ecosystem is vulnerable to tool interference. We opensource MCP reviewer as a tool to help.
microsoft.com
As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent...
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Interested in the technical details behind Magentic-UI? Our report is now available on arXiv: https://t.co/5U5aJBiyhz
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How do we design and evaluate human-agent interaction? Our report on Magentic-UI details key interaction-patterns including co-planning and co-tasking that could enable effective interaction at low cost for users. Report link: https://t.co/uuPBOy2pt3
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🚀 Introducing MCP Agents in Magentic-UI! Spin up custom agents that wrap one (or many) MCP tools, and let the Orchestrator pick the best agent for every step of the plan. Check out the demo below to see them in action 👇 #MCP #MagenticUI #AIagents
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My recent talk on challenges in developing human-centered agents is now available online! It provides an HCI perspective of our learning from developing @pyautogen
https://t.co/R4ttXB9J2k
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11/ 👀New Magentic-UI tutorial by @MayaMurad0 Learn how to make the most of MAGUI's features and automate complex tasks. @pyautogen https://t.co/qGcQFdBeyK
👀New Magentic-UI tutorial by @MayaMurad0 Learn how to make the most of MAGUI's features and automate complex tasks.
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👀New Magentic-UI tutorial by @MayaMurad0 Learn how to make the most of MAGUI's features and automate complex tasks.
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✨ Human-in-the-loop, by design. Magentic-UI introduces four core HCI features to make human–agent collaboration more transparent, controllable, and adaptive: 🧑🤝🧑 Co-Planning 🤝 Co-Tasking 🛡️ Action Guards 🧠 Plan Learning Let’s dive into each 👇
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1K on Magentic-UI ⭐️ Thank you! 🙏 https://t.co/YunP4VrDFm
https://t.co/xNHuLUbWSy
#starhistory #GitHub #OpenSource via @StarHistoryHQ
github.com
A research prototype of a human-centered web agent - microsoft/magentic-ui
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Computer use + Human-in-the-loop + Open-source 🔥
🚀 Introducing Magentic-UI — an experimental human-centered web agent from @MSFTResearch . It automates your web tasks while keeping you in control 🧠🤝—through co-planning, co-tasking, action guards, and plan learning. 🔓 Fully open-source. We can't wait for you to try it. 🔗
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🚀 Introducing Magentic-UI — an experimental human-centered web agent from @MSFTResearch . It automates your web tasks while keeping you in control 🧠🤝—through co-planning, co-tasking, action guards, and plan learning. 🔓 Fully open-source. We can't wait for you to try it. 🔗
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Magentic-UI, new from Microsoft Research, is an open-source research prototype of a human-centered AI agent, designed to work with people to complete complex, web-based tasks in real time over a web browser. https://t.co/WFJG8HWgtc
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Changing my model's tool calling interface from JSON to YAML had surprising side effects. Entropy collapse is one of the biggest issues with GRPO. I've learned that small changes to one's environment can have massive impacts on performance. Surprisingly, changing from JSON to
Tool calling with JSON has been pretty brittle for me, with models catastrophically forgetting how to properly format a JSON tool call after hours of training. Is there a better way? YAML maybe?
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🚀 New AutoGen release python-v0.5.4 is live — and it's packed with new features and upgrades! ✨ AgentTool & TeamTool — build multi-agent patterns using tool calls. 🛡️ Azure AI Agent adapter — now available as an Extension. 🐳 DockerJupyterCodeExecutor — sandbox your Jupyter
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