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Posts with #AutoGen

#AutoGen

Public posts on X that use #AutoGen.

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  1. Microsoft AI Frontiers✓@ms_aifrontiers
    New User Guide: Agents and Handoff in #AutoGen @OpenAI recently introduced Swarm, a lightweight framework for multi-agents with a "handoff" pattern. We show how to implement the same functionality in AutoGen while benefitting from the flexibility and scalability of AutoGen. To complete a task, the handoff pattern allow an agents to transfer the conversation (or computation) to another agent, sort of like agents passing a talk pillow. You can easily implement this (and many other) pattern(s) in AutoGen... 1/2
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  3. Microsoft AI Frontiers✓@ms_aifrontiers
    🚨We just released a new #AutoGen tutorial And with that getting started became even easier! First 5 chapter are already online to help you learn about - agents that can converse - termination - adding humans in-the-loop - code executors - multi-agent patterns Lets us know if you find it helpful! More soon!
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    23816920.7K
  4. Microsoft AI Frontiers✓@ms_aifrontiers
    Checkout out new #AutoGen short course in collaboration with @DeepLearningAI
    Andrew Ng @AndrewYNg
    New Agentic AI short course! AI Agentic Design Patterns with AutoGen, taught by @MSFTResearch's @Chi_Wang_ and @penn_state's @qingyun_wu, shows you how to use AutoGen to implement agentic design patterns like multi-agent collaboration, sequential and nested chat, reflection, tool use, and planning. Learn how to build and combine multiple specialized agents – such as researchers, planners, coders, writers, and critics – that interact to execute complex workflows, like generating detailed financial reports, that would otherwise have taken extensive manual effort. This course illustrates key agentic design principles with many fun demonstrations. For example, you'll build a conversational chess game using two player agents, each of which can use a tool to validate moves and update the board state, while engaging in lively banter about the game! I've enjoyed using AutoGen, and think you will too. Sign up to get started here:
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  5. Andrew Ng✓@AndrewYNg
    New Agentic AI short course! AI Agentic Design Patterns with AutoGen, taught by @MSFTResearch's @Chi_Wang_ and @penn_state's @qingyun_wu, shows you how to use AutoGen to implement agentic design patterns like multi-agent collaboration, sequential and nested chat, reflection, tool use, and planning. Learn how to build and combine multiple specialized agents – such as researchers, planners, coders, writers, and critics – that interact to execute complex workflows, like generating detailed financial reports, that would otherwise have taken extensive manual effort. This course illustrates key agentic design principles with many fun demonstrations. For example, you'll build a conversational chess game using two player agents, each of which can use a tool to validate moves and update the board state, while engaging in lively banter about the game! I've enjoyed using AutoGen, and think you will too. Sign up to get started here:
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    492821.5K219K
  7. Microsoft AI Frontiers✓@ms_aifrontiers
    🚀🚀New #AutoGen release (v0.2.37) Find it at the actively-maintained AutoGen 0.2 branch and autogen-agentchat~=0.2 PyPi package. What's Changed : - Trusted publisher for PyPI release (#3596) - New blog post + architecture preview (#3599, #3602) - CI improvements & tagging system updates (#3605, #3656) - Function calling support for Gemini Part 2 (#3726) - Notebooks: Langchain with AutoGen (#3461), web crawling (#2720) - Five new contributors welcomed! 🎉 - ... 🔗 Full Changelog: 🔗 0.2 Branch:
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  10. Microsoft AI Frontiers✓@ms_aifrontiers
    This new paper from @MIT uses multiple #AutoGen agents to generate, refine, and validate research hypothesis! SciAgents: Automating Scientific Discovery Through Multi-Agent Intelligent Graph Reasoning by Ghafarollahi & @ProfBuehlerMIT "We present SciAgents, an approach that leverages three core concepts: (1) the use of large-scale ontological knowledge graphs to organize and interconnect diverse scientific concepts, (2) a suite of large language models (LLMs) and data retrieval tools, and (3) multi-agent systems with in-situ learning capabilities." Paper: Code:
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    53912818.4K
  11. Gagan Bansal@bansalg_
    🚨🚨Announcing preview of the new architecture of #AutoGen (v0.4) Our team has been working hard at @MSFTResearch @Microsoft on this release! And we are looking forward to continue building it with our open-source community. For more info, checkout the links to blog and pull request in the announcement below.
    Microsoft AI Frontiers @ms_aifrontiers
    We are excited to announce a preview of the new architecture of AutoGen (coming in v0.4). To learn more, see Blog: Pull request: Come help us shape the future of AutoGen!
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  12. Microsoft AI Frontiers✓@ms_aifrontiers
    We are excited to announce a preview of the new architecture of AutoGen (coming in v0.4). To learn more, see Blog: Pull request: Come help us shape the future of AutoGen!
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    55517650.1K
  14. Microsoft AI Frontiers✓@ms_aifrontiers
    More and more users are testing #AutoGen Magentic-One on tasks they care about and realizing its potential. In a recent new video, YouTuber @AllAbtAI tested Magentic-One on 5 real-world complex tasks that they care about. And out of the box it nailed 4/5 of the tasks. In the video, @AllAbtAI concluded: "Overall, a very enjoyable experience and I think there is some potential here in this multi-agent system for solving complex tasks." We are excited for what folks built with it and the open-source agents. A neat, easy to use developer API for Magentic-One is also in progress, stay tuned... #AutoGen #MagenticOne #opensource #OSSagents
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  15. Machine Learning FLX✓@machinelearnflx
    Take a look at AI Agents with LangGraph, Semantic Kernel, and AutoGen. Learn to build multi-agent systems using AutoGen. #AD #AIAgents #AutoGen
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  18. Saleema Amershi✓@SaleemaAmershi
    🤖AI agents are getting better. 🙋‍♀️Human agency should too. Today, we're open-sourcing Magentic-UI, an experimental app built on #AutoGen to accelerate research in transparency, control, and human oversight of agentic systems. More 👇
    Microsoft Research @MSFTResearch
    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.
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  19. Microsoft Research✓@MSFTResearch
    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.
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    610645850.7K
  20. Emem✓@emem_urua
    Deploying should take a few minutes and not hours or days . I know some developers can relate to the 2am debugging just to get a build live.😥 That’s exactly why Autogen is here to remove the frustration and make deployment fast and easy for you. #Autogen #NodeOps
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    CreateOS @createosai
    Guess who's up and running 🫣
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  21. CreateOS✓@createosai
    Guess who's up and running 🫣
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    23106821.6K
  22. Jieyu Zhang✓@JieyuZhang20
    Check out this EcoAssistant blog on the #AutoGen website if you hate reading paper😆:
    Jieyu Zhang @JieyuZhang20
    Thanks for sharing!! Based on #AutoGen, we explore how to use LLM assistant agents more affordably and accurately. Our EcoAssistant system outperforms a single GPT-4 assistant by 10 points of success rate on user queries with less than half of its dollar costs. #GPT #LLMs
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  23. Jieyu Zhang✓@JieyuZhang20
    Thanks for sharing!! Based on #AutoGen, we explore how to use LLM assistant agents more affordably and accurately. Our EcoAssistant system outperforms a single GPT-4 assistant by 10 points of success rate on user queries with less than half of its dollar costs. #GPT #LLMs
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  24. Saleema Amershi✓@SaleemaAmershi
    📢Check out what our team @MSFTResearch has been working on! 👇 #AutoGen is an open source, multi-agent framework for easily building powerful LLM-based applications. 🤖🤖🤖 Repo: Discord: #AI #LLM #Microsoft
    Chi Wang @Chi_Wang_
    Imagine if ✨multiple✨ ChatGPT agents could collaborate to solve complex tasks for you! 🧑‍🦰🤝🤖🤖🤖 📢 AutoGen: A new framework for building multi-agent LLM applications Repo: Stay tuned for a new AutoGen tech report on 10/5… #AutoGen #AI #LLMs #ML
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  25. Chi Wang✓@Chi_Wang_
    Imagine if ✨multiple✨ ChatGPT agents could collaborate to solve complex tasks for you! 🧑‍🦰🤝🤖🤖🤖 📢 AutoGen: A new framework for building multi-agent LLM applications Repo: Stay tuned for a new AutoGen tech report on 10/5… #AutoGen #AI #LLMs #ML
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    74315164.6K
  27. Mervin Praison✓@MervinPraison
    Microsoft Magentic One: BEST Generalist AI Agents Framework EXPOSED! 🤖 Hands-on Tutorial 📚 What is Magnetic One? 🎯 What are the Agent Types? ⚡ How to Install? 💡 What are Example Use Cases? 🔄 How does It Work? @satyanadella RT Please @Microsoft @MicrosoftAI @pyautogen
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    74325215.7K
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