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If you are at #CHI2025 do not miss Helena’s talk! Today in G301 at 11:58 am Her journal paper showed that AI code highlights based on edits (by others), not generation probabilities, help devs code faster and smarter. If you are an ML researcher, this motivates a fascinating

Introducing Phi-4-reasoning, adding reasoning models to the Phi family of SLMs. The model is trained with both supervised finetuning (using a carefully curated dataset of reasoning demonstration) and Reinforcement Learning. 📌Competitive results on reasoning benchmarks with

Excited to share our latest Phi model, Phi4-reasoning, a small but powerful model that match the performance of much larger reasoning models up to DeepSeek R1. Here is the report for new insights into training reasoning models and evaluating them: lnkd.in/g_Pz5JQA

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. msft.it/6013SjYgN

🚀 Introducing Magentic-UI — an experimental human-centered web agent from Microsoft Research . 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. 🔗

Extremely excited to share this work with everyone -- we've been working on this since even before the Magentic One release last Fall. I'm also very glad to bring the Human back into the loop.

In the realm of AI agents for doing complex tasks that require multi-step planning and browser use, Magentic-UI from Microsoft Research is at the cutting edge. I think you'll find it surprisingly useful. Now available in open source on Azure Foundry.

Stanford Medicine is orchestrating multiple agents to connect medical data, clinical trials, and more - all with the goal of delivering more effective cancer care. Incredible to see in action.

🌐 The Future Is Agentic! 🤖 Microsoft unveils its bold vision for an open agentic web at Build 2025, rolling out major AI upgrades—from a smarter GitHub Copilot to open-source tools like Magentic-UI and NLWeb that put control back in users’ hands. 🚀💡

Excited to release my first lead project Magentic-UI at Microsoft Research, an OS web agent application designed for efficient human-agent interaction. CUA agents are cool but they're not so useful yet, Magentic-UI helps us study how to get value from them. github.com/microsoft/mage…

1K on Magentic-UI ⭐️ Thank you! 🙏 star-history.com/#microsoft/mag… github.com/microsoft/mage… #starhistory #GitHub #OpenSource via Star History

We just updated Magentic-UI to better support local models with ollama ! Here it is reviewing the latest github.com/microsoft/mage… release notes powered by Qwen 2.5 VL 32b!

👀New Magentic-UI tutorial by Maya Murad Learn how to make the most of MAGUI's features and automate complex tasks.

Crazy that it's been almost a decade since my last internship... Super excited to be at Microsoft Research this summer! Will hopefully build an awesome new agentic system with Gagan Bansal and Hussein Mozannar

I've started my new role as a Researcher at Microsoft Research AI Frontiers, working on LLM Agents & Systems!!

My recent talk on challenges in developing human-centered agents is now available online! It provides an HCI perspective of our learning from developing AutoGen youtube.com/watch?v=O5jSX8…

Curious how to build agents that can control a browser? I just wrote up a full tutorial on how to do it completely from scratch and with Magentic-UI. My goal is to demystify browser-use and CUA agents, it's fun to follow along! Link: husseinmozannar.github.io/#/blog/web_age… Jupyter notebook:

🚀 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

🚀 AutoGen v0.6.4 is out! Shout-out to GitHub Copilot for helping author these new features! 🧠 GraphFlow now retains execution state after termination, just like other group chats. Resets only when the graph fully completes. ⚙️ New parameter_override in Workbenches for