Maya Murad (@mayamurad0) 's Twitter Profile
Maya Murad

@mayamurad0

Imagining the future of agentic AI at Microsoft AI Frontiers 🚀

ID: 1368676113204064260

calendar_today07-03-2021 21:33:25

44 Tweet

213 Followers

185 Following

Towards Data Science (@tdatascience) 's Twitter Profile Photo

Designing a general-purpose LLM agent is easier than you think. From picking the perfect model to defining memory strategies, take your first step in creating a versatile agent that adapts to your needs. Check out Maya Murad's step-by-step guide now. #LLM #AIAgent

Leon van Zyl (@leonvz) 's Twitter Profile Photo

Build AI Agents Fast with Bee Agent Framework from IBM Research. A new Open Source framework for building scalable and typesafe agent flows. TS tutorial below 👇. IBM Research youtu.be/AsYQVlBC6Mo

armand (@armand_ruiz) 's Twitter Profile Photo

🚀 Introducing BeeAI: an IBM Open Source platform designed to make working with AI Agents simpler, more flexible, and more powerful. Whether you're building your own agents or leveraging existing ones, BeeAI helps you discover, run, and compose AI agents across any framework

🚀 Introducing BeeAI: an <a href="/IBM/">IBM</a>  Open Source platform designed to make working with AI Agents simpler, more flexible, and more powerful.

Whether you're building your own agents or leveraging existing ones, BeeAI helps you discover, run, and compose AI agents across any framework
AutoGen (@pyautogen) 's Twitter Profile Photo

🚀 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

sunil kumar (@__sunil_kumar_) 's Twitter Profile Photo

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

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
Microsoft Research (@msftresearch) 's Twitter Profile Photo

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

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
AutoGen (@pyautogen) 's Twitter Profile Photo

🚀 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. 🔗

AutoGen (@pyautogen) 's Twitter Profile Photo

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

AutoGen (@pyautogen) 's Twitter Profile Photo

✨ 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 👇

Gagan Bansal (@bansalg_) 's Twitter Profile Photo

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…

AutoGen (@pyautogen) 's Twitter Profile Photo

🚀 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

Hussein Mozannar (@hsseinmzannar) 's Twitter Profile Photo

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: aka.ms/magentic-ui-re…

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: aka.ms/magentic-ui-re…
Ece Kamar (@ecekamar) 's Twitter Profile Photo

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/en-us/research…