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Merge pull request #1806 from msakande/update-AI-foundry-screenshot
[Azure AI Svcs] update image and description
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articles/machine-learning/how-to-use-batch-model-openai-embeddings.md

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@@ -42,11 +42,11 @@ You can follow along this sample in the following notebooks. In the cloned repos
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### Ensure you have an OpenAI deployment
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The example shows how to run OpenAI models hosted in Azure OpenAI Service. To successfully do it, you need an OpenAI resource correctly deployed in Azure and a deployment for the model you want to use.
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The example shows how to run OpenAI models hosted in Azure OpenAI Service. To begin, you need an OpenAI resource correctly deployed in Azure and a deployment for the model you want to use. To deploy an OpenAI model in Azure OpenAI Service, see [Focus on Azure OpenAI Service](../ai-studio/azure-openai-in-ai-studio.md#focus-on-azure-openai-service).
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:::image type="content" source="./media/how-to-use-batch-model-openai-embeddings/aoai-deployments.png" alt-text="An screenshot showing the Azure OpenAI studio with the list of model deployments available.":::
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:::image type="content" source="./media/how-to-use-batch-model-openai-embeddings/aoai-deployments.png" alt-text="A screenshot of the Azure OpenAI studio within Azure AI Foundry, showing the model deployments available in a particular Azure OpenAI Service resource." lightbox="media/how-to-use-batch-model-openai-embeddings/aoai-deployments.png":::
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Take note of the OpenAI resource being used. We use the name to construct the URL of the resource. Save the URL for later use on the tutorial.
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The previous image shows the Azure OpenAI Service resource to which the model is deployed. Note the name of this resource, as you later use it to construct the URL of the resource. Save the URL for later use in the tutorial.
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# [Azure CLI](#tab/cli)
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