From the course: Build with AI: Building a Copilot with Azure AI Foundry
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Demo: Managing your data
From the course: Build with AI: Building a Copilot with Azure AI Foundry
Demo: Managing your data
- [Instructor] Azure AI Studio allows the flexibility to import various data types, either in file or in a folder. When importing a file, it could be in any format, either a .CSV, an image, or an audio file. When importing a folder, you could specify URL format for a blob, Azure Data Lake, or an HTTPS server. Once the data's imported, there's a couple things to keep in mind. Currently not supported in AI Studio is the ability to delete data or modify it. Essentially, data becomes immutable once it's imported into Azure AI Studio. The reason for this immutability provides the ability to audit and have reproducible results. In addition, some archive and restore features for data versions are not available as of this time. You can read more about it in the link provided in the handout.
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Contents
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Using the system message and sections3m 36s
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Adding your own data3m 1s
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Parameters4m 8s
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Demo: Testing in the Playground3m 5s
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Demo: Chat capabilities1m 11s
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Demo: Exploring the Chat Playground menu bar3m 44s
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Demo: Add your data3m 31s
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Demo: Evaluation3m 18s
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Demo: Deployment2m 32s
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Demo: Managing your data48s
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