Select, deploy, and evaluate models from the catalog in Microsoft Foundry portal
Intermediate
Data Scientist
AI Engineer
Azure AI Foundry
Explore how to select appropriate models from the model catalog using benchmarks, deploy them to endpoints, and evaluate their performance using manual and automated approaches in Microsoft Foundry portal.
Learning objectives
By the end of this module, you'll be able to:
- Explore and filter models in the model catalog
- Compare models using benchmark metrics for quality, safety, cost, and performance
- Deploy a model to an endpoint and test it in the playground
- Evaluate model performance using manual and automated approaches
- Understand different evaluation metrics and when to use them
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.