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Microsoft Research Unveils Orchard: Open Framework for Scalable Agentic AI
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Originally published on Microsoft Research Blog
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Summary & Key Takeaways
- Microsoft Research has released Orchard, an open-source framework for AI agents.
- Orchard is designed to help the research community train and evaluate AI agents.
- It aims to reduce complexity in agent development across various task types.
- The framework supports strong performance even from smaller AI models.
- Researchers can reuse the same infrastructure, streamlining their work.
Our Commentary
An open-source framework for agentic AI from Microsoft Research is a welcome addition. The focus on "reducing complexity" and "strong performance from smaller models" is particularly appealing. We've seen a lot of hype around agents, but practical, scalable tools are what the community truly needs to move forward.
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