Orchard: An open framework for scalable agentic AI

Microsoft Research Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Jianfeng Gao

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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.

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