Orchard: An open framework for scalable agentic AI
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research .
What happened
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research .
Why it matters
The development may change operating conditions or market expectations around Microsoft. Further confirmation and measurable outcomes matter.
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1 reports · 1 original report · 1 independent
- Microsoft ResearchPrimary source · Supports · EN · 100%Orchard: An open framework for scalable agentic AI ↗
Claims
- Orchard: An open framework for scalable agentic AI Observed
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No material conflict detected in the available evidence.
Timeline
- First reported
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