TLDR Tech / DevOps
A Developer's Guide to Managing Models, Cost, and Quality in Microsoft Foundry
AI system success in production depends less on selecting the most capable model and more on an end-to-end discipline of selecting, evaluating, optimizing, operating, and continuously improving models using workload-specific criteria, governance, and automated evaluation loops. Microsoft Foundry enables this approach through a unified, model-agnostic platform supporting routing, testing, cost controls, and lifecycle management.
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