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Microsoft releases Orchard framework to cut AI agent training costs

Microsoft Research has introduced Orchard, an open-source framework designed to reduce the costs and complexity associated with training autonomous AI agents. This framework aims to democratize access to state-of-the-art agentic AI systems by providing reusable infrastructure components, eliminating the need for researchers to build custom environments from scratch. Orchard supports various tasks such as coding, web browsing, and tool usage, and includes pre-built training recipes for software engineering, graphical user interface navigation, and productivity tasks. AI

影响 This framework aims to lower the barrier to entry for developing and training AI agents, potentially accelerating research and application development in agentic AI.

排序理由 This is a framework release from a research division of a large tech company, not a core frontier model release.

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Microsoft releases Orchard framework to cut AI agent training costs

报道来源 [1]

  1. AI Business TIER_1 English(EN) · Graham Hope ·

    Microsoft Framework to Cut AI Agent Training Costs

    The vendor is aiming to capitalize on the growing demand for lower-cost AI services.