updating for AI Studio

Author: aahill

articles/ai-services/openai/includes/connect-your-data-studio.md

@@ -6,7 +6,7 @@ ms.service: azure-ai-openai
 ms.topic: include
 author: aahill
 ms.author: aahi
-ms.date: 02/15/2024
+ms.date: 11/06/2024
 recommendations: false
 ---
 
@@ -15,15 +15,17 @@ recommendations: false
 > [!TIP]
 > You can [use the Azure Developer CLI](../how-to/azure-developer-cli.md) to programmatically create the resources needed for Azure OpenAI On Your Data 
 
-Navigate to [Azure OpenAI Studio](https://oai.azure.com/) and sign-in with credentials that have access to your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
+Navigate to [Azure AI Studio](https://ai.azure.com/) and sign-in with credentials that have access to your Azure OpenAI resource. 
 
-1. Select the **Bring your own data** tile
+1. You can either [create an AI studio project](../../../ai-studio/how-to/create-projects.md) by clicking **Create project**, or continue directly by clicking the button on the **Focused on Azure OpenAI Service** tile.  
 
-    :::image type="content" source="../media/use-your-data/bring-your-data-card-new.png" alt-text="A screenshot of the Azure OpenAI Studio landing page." lightbox="../media/use-your-data/bring-your-data-card-new.png":::
+    :::image type="content" source="../media/use-your-data/ai-studio-homepage.png" alt-text="A screenshot of the Azure AI Studio landing page." lightbox="../media/ai-studio-homepage.png":::
+
+1. Select **Chat** under **Playgrounds** in the left navigation menu, and select your model deployment.
 
 1. In the **Chat playground**, Select **Add your data** and then **Add a data source**
 
-    :::image type="content" source="../media/use-your-data/chat-playground.png" alt-text="A screenshot of the chat playground in  OpenAI Studio." lightbox="../media/use-your-data/chat-playground.png":::
+    :::image type="content" source="../media/use-your-data/chat-playground.png" alt-text="A screenshot of the chat playground in  AI Studio." lightbox="../media/use-your-data/chat-playground.png":::
 
 1. In the pane that appears, select **Upload files (preview)** under **Select data source**. Azure OpenAI needs both a storage resource and a search resource to access and index your data. 
 

articles/ai-services/openai/includes/use-your-data-studio.md

@@ -18,7 +18,7 @@ Start exploring Azure OpenAI capabilities with a no-code approach through the ch
 
 :::image type="content" source="../media/quickstarts/chat-playground-new.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with sections highlighted." lightbox="../media/quickstarts/chat-playground-new.png":::
 
-The playground gives you options to tailor your chat experience. On the right, you can select **Deployment** to determine which model generates a response using the search results from your index. You choose the number of past messages to include as conversation history for future generated responses. [Conversation history](../concepts/use-your-data.md#conversation-history-for-better-results) gives context to generate related responses but also consumes [token usage](../concepts/use-your-data.md#token-usage-estimation-for-azure-openai-on-your-data). The input token progress indicator keeps track of the token count of the question you submit. 
+The playground gives you options to tailor your chat experience. On the top menu, you can select **Deploy** to determine which model generates a response using the search results from your index. You choose the number of past messages to include as conversation history for future generated responses. [Conversation history](../concepts/use-your-data.md#conversation-history-for-better-results) gives context to generate related responses but also consumes [token usage](../concepts/use-your-data.md#token-usage-estimation-for-azure-openai-on-your-data). The input token progress indicator keeps track of the token count of the question you submit. 
 
 
 The **Advanced settings** on the left are [runtime parameters](../concepts/use-your-data.md#runtime-parameters), which give you control over retrieval and search relevant information from your data. A good use case is when you want to make sure responses are generated only based on your data or you find the model cannot generate a response based on existed information on your data.