新闻与深度文章
| Gagan Bansal, Wenyue Hua, Zachary Huang, Adam Fourney, Amanda Swearngin, Chinmay Singh, Brendan Lucier, Jake Hofman, Markus Mobius, Will Epperson, Tyler Payne, Akshay Nambi, Archana Yadav, Maya Murad, Matthew Vogel, Alex Slivkins, Dan Goldstein, David Rothschild, Hussein Mozannar, Nicole Immorlica, Subbarao Kambhampati, Eric Horvitz, 和 Saleema Amershi
AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace, an open-source simulation environment for studying agentic market designs.
| Hussein Mozannar, Matheus Kunzler Maldaner, Maya Murad, Jingya Chen, Gagan Bansal, Rafah Hosn, 和 Adam Fourney
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.
| Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Friederike Niedtner, Jack Gerrits, Jacob Alber, Jingya Chen, Griffin Bassman, Erkang (Eric) Zhu, Peter Chang, Ricky Loynd, Maya Murad, Rafah Hosn, Ece Kamar, 和 Saleema Amershi
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.
AutoGen v0.4: Reimagining the foundation of agentic AI for scale, extensibility, and robustness
| Adam Fourney, Ahmed Awadallah, Cheng Tan, Erkang (Eric) Zhu, Friederike Niedtner, Gagan Bansal, Jack Gerrits, Jacob Alber, Peter Chang, Rafah Hosn, Ricky Loynd, Saleema Amershi, Victor Dibia, XiaoYun Zhang, Li Jiang, Ryan Sweet, Leonardo Pinheiro, Mohammad Mazraeh, Gerardo Moreno Zizumbo, Kosta Petan, Aamir Jawaid, Reuben Bond, Diego Colombo, 和 Hussein Mozannar
Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows.
| Victor Dibia, Gagan Bansal, Jingya Chen, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, 和 Saleema Amershi
AutoGen Studio, built on Microsoft’s flexible open-source AutoGen framework for orchestrating AI agents, provides an intuitive user-friendly interface that enables developers to rapidly build, test, customize, and share multi-agent AI solutions—with little or no coding.
新闻报道 | WIRED
Many Chatbots Make Light Work 🤝🤖 🎉
Turning to a friend or coworker can make tricky problems easier to tackle. Now it looks like having AI chatbots team up with each other can make them more effective. I’ve been playing this week with AutoGen, an open source…
新闻报道 | Foundation Capital
The Promise of Multi-Agent AI
Agents have been a cornerstone of human-computer interaction for decades, from the friendly Clippy of Microsoft Office fame to auto-suggestions in Google Docs and NPCs in video games. While these early agents hinted at the potential for personalized, goal-oriented interactions,…
From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.
新闻报道 | Economist
Today’s AI models are impressive. Teams of them will be formidable
On may 13th Openai unveiled its latest model, gpt-4o. Mira Murati, the company’s chief technology officer, called it the “future of interaction between ourselves and the machines”, because users will be able to speak to the model, which will talk…