The previous chapter covered the powerful capabilities of a Microsoft prompt flow within Azure AI Foundry. From creating simple input/output flows to building advanced workflows with the Copilot stack, you saw how developers can orchestrate large language model (LLM) operations, integrate external APIs, and implement function calling for more complex interactions. This foundation gave us a glimpse into the potential of prompt engineering and modular flow design in real-world AI applications.

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Bringing Your Own Data to AI Foundry

  • Sagar Lad

摘要

The previous chapter covered the powerful capabilities of a Microsoft prompt flow within Azure AI Foundry. From creating simple input/output flows to building advanced workflows with the Copilot stack, you saw how developers can orchestrate large language model (LLM) operations, integrate external APIs, and implement function calling for more complex interactions. This foundation gave us a glimpse into the potential of prompt engineering and modular flow design in real-world AI applications.