Microsoft Researchers Introduce Magentic-One: A Modular Multi-Agent System...

Microsoft Research AI Frontiers researchers introduced Magentic-One, a modular, multi-agent system tailored to overcome these obstacles. Magentic-One features a multi-agent architecture directed by a core “Orchestrator” agent, responsible for planning and coordinating across specialized agents like the WebSurfer, FileSurfer, Coder, and ComputerTerminal. Each agent is specifically configured to manage a unique task domain, such as web browsing, file handling, or code execution. The Orchestrator dynamically assigns tasks to these specialized agents, coordinating their actions based on task progression and reevaluating strategies when errors occur. This design enables Magentic-One to handle ad hoc tasks in an organized, modular approach, making it especially well-suited to adaptable applications.
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Read the full article here: www.marktechpost.com/2024/11/06/microsoft-researchers-introduce-magentic-one-a-modular-multi-agent-system-focused-on-enhancing-ai-adaptability-and-task-completion-across-benchmark-tests/ Paper: www.microsoft.com/en-us/research/uploads/prod/2024/11/Magentic-One.pdf GitHub Page: github.com/microsoft/autogen/tree/main/python/packages/autogen-magentic-one Audio Created by NotebookLLM and reviewed by real human 👉 Don’t Forget to join our 55k+ ML SubReddit: www.reddit.com/r/machinelearningnews/

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