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Aug 3, 2026, 9:00 AM · Brief by Signal Desk Editors · Source: Microsoft Research
Microsoft Research published “Orchard: An open framework for scalable agentic AI” dated 2026-08-03. According to the Microsoft Research feed, orchard is an open-source framework for the research community to train and evaluate AI agents across task types. The same item also notes that it reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same…
Microsoft Research published “Orchard: An open framework for scalable agentic AI” dated 2026-08-03.
According to the Microsoft Research feed, orchard is an open-source framework for the research community to train and evaluate AI agents across task types.
The same item also notes that it reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure.
The same item also notes that post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research.
According to the Microsoft Research feed, it reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure.
The same item also notes that post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research.
This item is filed from a public RSS feed.
Signal Desk writes its own brief and does not reprint the source article.
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Microsoft Research — https://www.microsoft.com/en-us/research/blog/orchard-an-open-framework-for-scalable-agentic-ai/Companies: Microsoft
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