End-to-End Model Development on Microsoft Foundry

In this session, we explore the end-to-end journey of designing and developing AI solutions with Microsoft Foundry models. The session is structured around four key phases of the model development journey.

We begin with Model Understanding, where you discover the Foundry model catalog and build intuition around core model capabilities. Next is Model Selection, focusing on how to choose the right model for a given use case using benchmarks, evaluations, and leaderboards. We then move into Model Customization, covering how models can be adapted through techniques such as context engineering, fine‑tuning, and compression to better meet application needs. Finally, we close with Model Observability, highlighting how evaluations, tracing, and monitoring help ensure models behave safely, reliably, and effectively at scale.

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The Java-Script AI Build-a-thon

📌 This session is a part of a series! Learn more here