Merge pull request #275532 from eric-urban/eur/build-ai-studio-follow-1

build ai studio follow 1

Author: v-dirichards

articles/ai-studio/how-to/create-projects.md

@@ -15,8 +15,6 @@ author: sdgilley
 
 # Create a project in Azure AI Studio
 
-[!INCLUDE [Feature preview](../includes/feature-preview.md)]
-
 This article describes how to create a project in Azure AI Studio. A project is used to organize your work and save state while building customized AI apps. 
 
 Projects are hosted by an Azure AI Studio hub that provides enterprise-grade security and a collaborative environment. For more information about the projects and resources model, see [Azure AI Studio hubs](../concepts/ai-resources.md).

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

@@ -133,7 +133,7 @@ By selecting a span, you can see the detailed information on the right side. Thi
 > [!NOTE]
 > In prompt flow SDK, we defined serval span types, including **LLM**, **Function**, **Embedding**, **Retrieval**, and **Flow**. And the system automatically creates spans with execution information in designated attributes and events.
 >
-> To learn more about span types, see  [Trace span](https://microsoft.github.io/promptflow/how-to-guides/tracing/trace-span.html).
+> To learn more about span types, see  [Trace span](https://microsoft.github.io/promptflow/reference/trace-span-spec-reference.html).
 
 After the flow run is completed, for checking the results, you can select the **View test results** button to check all historical run records in a list. By default, the run records created in the last 7 days are displayed. You can select the **Filter** to change the condition.
 

articles/ai-studio/quickstarts/get-started-code.md

@@ -19,13 +19,12 @@ In this quickstart, we walk you through setting up your local development enviro
 
 ## Prerequisites
 
-Before you can follow this quickstart, you first need to create the resources you need for your application, we recommend creating the following resources:
-- An AI Studio hub for connecting to external resources.
-- An AI Studio project for organizing your project artifacts and sharing traces and evaluation runs
-- An Azure AI services resource connected to your project, for providing intelligent APIs and models
-- An Azure OpenAI chat model deployment (gpt-35-turbo or gpt-4)
+Before you can follow this quickstart, create the resources that you need for your application:
+- An [AI Studio hub](../how-to/create-azure-ai-resource.md) for connecting to external resources.
+- A [project](../how-to/create-projects.md) for organizing your project artifacts and sharing traces and evaluation runs.
+- A [deployed Azure OpenAI](../how-to/deploy-models-openai.md) chat model (gpt-35-turbo or gpt-4)
 
-- An [AI Studio hub](../how-to/create-azure-ai-resource.md), [project](../how-to/create-projects.md), and [deployed Azure OpenAI](../how-to/deploy-models-openai.md) chat model. Complete the [AI Studio playground quickstart](../quickstarts/get-started-playground.md) to create these resources if you haven't already. You can also create these resources by following the [SDK guide to create a hub and project](../how-to/develop/create-hub-project-sdk.md) article.
+Complete the [AI Studio playground quickstart](../quickstarts/get-started-playground.md) to create these resources if you haven't already. You can also create these resources by following the [SDK guide to create a hub and project](../how-to/develop/create-hub-project-sdk.md) article.
 
 Also, you must have the necessary permissions to add role assignments for storage accounts in your Azure subscription. Granting permissions (adding role assignment) is only allowed by the **Owner** of the specific Azure resources. You might need to ask your IT admin for help to [grant access to call Azure OpenAI Service using your identity](#grant-access-to-call-azure-openai-service-using-your-identity).
 

articles/ai-studio/tutorials/deploy-copilot-ai-studio.md

@@ -419,11 +419,6 @@ To avoid incurring unnecessary Azure costs, you should delete the resources you
 You can also [stop or delete your compute instance](../how-to/create-manage-compute.md#start-or-stop-a-compute-instance) in [Azure AI Studio](https://ai.azure.com) as needed.
 
 
-## Azure AI Studio enterprise chat solution demo
-
-Learn how to create a retail copilot using your data with Azure AI Studio in this [end-to-end walkthrough video](https://youtu.be/Qes7p5w8Tz8).
-> [!VIDEO https://www.youtube.com/embed/Qes7p5w8Tz8]
-
 ## Next steps
 
 * Learn more about [prompt flow](../how-to/prompt-flow.md).

articles/ai-studio/what-is-ai-studio.md

@@ -165,11 +165,6 @@ You can also access the following pages:
 - Tools: This is where you can access tools for prompt flow, tracing, evaluations, and fine-tuning. You can also access the [Visual Studio Code (Web)](how-to/develop/vscode.md) experience from this page. 
 - Components: This is where you can view and manage components in the project. Components include data, indexes, deployments, and content filters.
 
-## Build your own copilot demo
-
-Learn how to build your own copilot with AI Studio in this [overview video from Microsoft Mechanics on YouTube](https://youtu.be/3hZorLy6JiA).
-> [!VIDEO https://www.youtube.com/embed/3hZorLy6JiA]
-
 ## Pricing and Billing
 
 Using AI Studio also incurs cost associated with the underlying services, to learn more read [Plan and manage costs for Azure AI services](./how-to/costs-plan-manage.md).

articles/ai-studio/whats-new.md

@@ -60,7 +60,7 @@ Evaluators in the prompt flow SDK offer a streamlined, code-based experience
 
 ### Use Prompty for engineering and sharing prompts 
 
-Prompty is a new prompt template part of the prompt flow SDK that can be run standalone and integrated into your code. You can download a prompty from the AI Studio playground, continue iterating on it in your local development environment, and check it into your git repo to share and collaborate on prompts with others. The prompty format is supported in Semantic Kernel C# and LangChain as a community extension.  
+Prompty is a new prompt template part of the prompt flow SDK that can be run standalone and integrated into your code. You can download a prompty from the AI Studio playground, continue iterating on it in your local development environment, and check it into your git repo to share and collaborate on prompts with others. The prompty format is supported in Semantic Kernel, C#, and LangChain as a community extension.  
 
 ### Mistral Small