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Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into dns-azdns
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articles/ai-services/speech-service/ingestion-client.md

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* <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAIServices" title="Create an Azure AI services resource" target="_blank">Create an Azure AI services resource</a> in the Azure portal.
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* Get the resource key and region. After your resource is deployed, select **Go to resource** to view and manage keys. For more information about Azure AI services resources, see [this quickstart](~/articles/ai-services/multi-service-resource.md?pivots=azportal).
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See the [Getting Started Guide for the Ingestion Client](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/ingestion/ingestion-client/Setup/guide.md) on GitHub to learn how to set up and use the tool.
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## Ingestion Client Features
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articles/ai-studio/concepts/connections.md

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## Connections to datastores
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> [!IMPORTANT]
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> Data connections cannot be shared across projects. They are created exclusively in the context of one project.
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Creating a data connection allows you to access external data without copying it to your project. Instead, the connection provides a reference to the data source.
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A data connection offers these benefits:

articles/ai-studio/concepts/evaluation-approach-gen-ai.md

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articles/ai-studio/concepts/evaluation-improvement-strategies.md

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articles/ai-studio/how-to/data-add.md

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## Create data
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When you create your data, you need to set the data type. AI Studio supports three data types:
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When you create your data, you need to set the data type. AI Studio supports these data types:
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|Type |**Canonical Scenarios**|
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articles/ai-studio/how-to/evaluate-flow-results.md

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articles/ai-studio/how-to/evaluate-generative-ai-app.md

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articles/ai-studio/how-to/evaluate-prompts-playground.md

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articles/ai-studio/how-to/flow-bulk-test-evaluation.md

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articles/ai-studio/how-to/flow-develop-evaluation.md

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