课程: Introduction to Azure AI Foundry: Exploring Services and Capabilities

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Assets, endpoints, data, indexes

Assets, endpoints, data, indexes

课程: Introduction to Azure AI Foundry: Exploring Services and Capabilities

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Assets, endpoints, data, indexes

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- [Narrator] In this video, we'll explore the tools in the My Assets section of the left rail menu. This section serves as a central hub for managing our AI resources, including data indexes and more. We'll start with Models and Endpoints. This tool set allows us to manage our deployed models and endpoints through which they are accessed. We can handle versioning, scaling, and updates of the models, as well as monitor their usage and performance. It ensures that our models are accessible, reliable, and optimized for the demand they receive from applications and users. Over here, we have our data and indexes. This is for the data that powers our AI models. You can manage your data sets here, create indexes for efficient querying and handle data ingestion pipelines. Proper data management is critical for training accurate models and ensuring fast, reliable access to the data our application needs. And the last feature is Web Apps. Now I would create a new deployment for a web app here…

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