Merge pull request #691 from eric-urban/eur/preview-notes

prmerger-automator[bot] · web-flow · commit 2abe936f79d6 · 2024-10-07T22:46:15.000Z
trim preview notes
diff --git a/articles/ai-studio/ai-services/connect-ai-services.md b/articles/ai-studio/ai-services/connect-ai-services.md
@@ -16,8 +16,6 @@ author: eric-urban
 
 # Connect AI services to your hub in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 You can try out AI services for free in Azure AI Studio as described in the [getting started with AI services](get-started.md) article. This article describes how to use AI services connections to do more via Azure AI Studio, SDKs, and APIs. 
 
 After you create a hub with AI services, you can use the AI services connection via the AI Studio UI, APIs, and SDKs. For example, you can try out AI services via **Home** > **AI Services** in the AI Studio UI as shown here.
diff --git a/articles/ai-studio/ai-services/get-started.md b/articles/ai-studio/ai-services/get-started.md
@@ -15,8 +15,6 @@ author: eric-urban
 
 # Get started with AI services in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 This article describes how to get started with AI services in [Azure AI Studio](https://ai.azure.com). You can connect to AI services in Azure AI Studio to use AI capabilities such as Azure OpenAI, Speech, Language, Translator, Vision, Document Intelligence, and Content Safety.
 
 Go to the **Home** page and then select **AI Services** from the left pane to explore these services.
diff --git a/articles/ai-studio/concepts/connections.md b/articles/ai-studio/concepts/connections.md
@@ -16,8 +16,6 @@ author: eric-urban
 
 # Connections in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 Connections in Azure AI Studio are a way to authenticate and consume both Microsoft and non-Microsoft resources within your AI Studio projects. For example, connections can be used for prompt flow, training data, and deployments. [Connections can be created](../how-to/connections-add.md) exclusively for one project or shared with all projects in the same hub. 
 
 ## Connections to Azure AI services
diff --git a/articles/ai-studio/concepts/content-filtering.md b/articles/ai-studio/concepts/content-filtering.md
@@ -16,8 +16,6 @@ author: PatrickFarley
 
 # Content filtering in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 Azure AI Studio includes a content filtering system that works alongside core models and DALL-E image generation models.
 
 > [!IMPORTANT]
diff --git a/articles/ai-studio/concepts/retrieval-augmented-generation.md b/articles/ai-studio/concepts/retrieval-augmented-generation.md
@@ -16,8 +16,6 @@ author: eric-urban
 
 # Retrieval augmented generation and indexes
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 This article talks about the importance and need for Retrieval Augmented Generation (RAG) and index in generative AI. 
 
 ## What is RAG?
diff --git a/articles/ai-studio/how-to/connections-add.md b/articles/ai-studio/how-to/connections-add.md
@@ -33,7 +33,7 @@ Here's a table of some of the available connection types in Azure AI Studio. The
 | Azure Blob Storage | ✓ | Azure Blob Storage is a cloud storage solution for storing unstructured data like documents, images, videos, and application installers. |
 | Azure Data Lake Storage Gen 2 | ✓ | Azure Data Lake Storage Gen2 is a set of capabilities dedicated to big data analytics, built on Azure Blob storage. |
 | Azure Content Safety | ✓ | Azure AI Content Safety is a service that detects potentially unsafe content in text, images, and videos. |
-| Azure OpenAI || Azure OpenAI is a service that provides access to the OpenAI GPT-3 model. |
+| Azure OpenAI || Azure OpenAI is a service that provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure. |
 | Serverless Model | ✓ | Serverless Model connections allow you to [serverless API deployment](deploy-models-serverless.md). |
 | Microsoft OneLake | ✓ | Microsoft OneLake provides open access to all of your Fabric items through Azure Data Lake Storage (ADLS) Gen2 APIs and SDKs.<br/><br/>In Azure AI Studio you can set up a connection to your OneLake data using a OneLake URI. You can find the information that Azure AI Studio requires to construct a __OneLake Artifact URL__ (workspace and item GUIDs) in the URL on the Fabric portal. For information about the URI syntax, see [Connecting to Microsoft OneLake](/fabric/onelake/onelake-access-api). |
 | API key || API Key connections handle authentication to your specified target on an individual basis. For example, you can use this connection with the SerpApi tool in prompt flow.  |
