1. Learning Objectives

GENAIOPS: Model Selection is part of the Getting Started stage. (click to view figure)

Models are the brains of our generative AI applications. The first step of your end-to-end developer workflow is model selection. This consists of three steps:

1. Discovery - see if there exists an AI model for your need.
2. Selection - choose the right model from available matches.
3. Usage - deploy, customize, and evaluate, the model for fit.

The Azure AI Foundry portal helps support the model selection journey with three features:

1. Model catalog - for discovery
2. Model benchmarks - for comparison
3. Model deployment - for evaluation

By the end of this section you should know how to:

• Filter the model catalog to discover relevant models
• Compare selected models using the model benchmarks
• Select a model and explore its model card for details
• Start a model deployment to experiment with it in Azure