fix warnings

Author: msakande

articles/ai-studio/how-to/develop/ai-template-get-started.md

@@ -13,7 +13,7 @@ author: sdgilley
 
 # How to get started with an AI template
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 Streamline your code-first development with prebuilt, task-specific Azure AI templates. Benefit from using the latest features and best practices from Microsoft Azure AI, with popular frameworks like LangChain, prompt flow, and Semantic Kernel in multiple languages.
 

articles/ai-studio/how-to/develop/connections-add-sdk.md

@@ -15,7 +15,7 @@ author: Blackmist
 
 # Add a new connection using the Azure Machine Learning SDK
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 In this article, you learn how to add a new connection using the Azure Machine Learning SDK.
 

articles/ai-studio/how-to/develop/create-hub-project-sdk.md

@@ -14,7 +14,7 @@ author: sdgilley
 
 # Create a hub using the Azure Machine Learning SDK and CLI
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 In this article, you learn how to create the following AI Studio resources using the Azure Machine Learning SDK and Azure CLI (with machine learning extension):
 - An Azure AI Studio hub

articles/ai-studio/how-to/develop/evaluate-sdk.md

@@ -15,7 +15,7 @@ author: lgayhardt
 ---
 # Evaluate with the Azure AI Evaluation SDK
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 > [!NOTE]
 > Evaluate with the prompt flow has been retired and replaced with Azure AI Evaluate.

articles/ai-studio/how-to/develop/index-build-consume-sdk.md

@@ -15,7 +15,7 @@ author: sdgilley
 
 # How to build and consume an index using code
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 In this article, you learn how to create an index and consume it from code. To create an index locally, we use the `promptflow-rag` package. To create a remote index on the cloud, we use the `azure-ai-ml` package. We consume the indexes using `langchain`.
 
@@ -183,7 +183,7 @@ client.indexes.create_or_update(
 ```
 
 > [!NOTE]
-> Environment variables are intended for convenience in a local environment. However, if you register a local index created using environment variables, the index may not function as expected because secrets from environment variables won’t be transferred to the cloud index. To address this issue, you can use a `ConnectionConfig` or `connection_id` to create a local index before registering.
+> Environment variables are intended for convenience in a local environment. However, if you register a local index created using environment variables, the index may not function as expected because secrets from environment variables won't be transferred to the cloud index. To address this issue, you can use a `ConnectionConfig` or `connection_id` to create a local index before registering.
 
 ## Build an index (remotely) in your AI Studio project
 

articles/ai-studio/how-to/develop/simulator-interaction-data.md

@@ -17,7 +17,7 @@ author: lgayhardt
 
 # Generate synthetic and simulated data for evaluation
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 Large language models are known for their few-shot and zero-shot learning abilities, allowing them to function with minimal data. However, this limited data availability impedes thorough evaluation and optimization when you might not have test datasets to evaluate the quality and effectiveness of your generative AI application. 
 

articles/ai-studio/how-to/develop/trace-local-sdk.md

@@ -15,7 +15,7 @@ author: sdgilley
 
 # How to trace your application with prompt flow SDK | Azure AI Studio
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 Tracing is a powerful tool that offers developers an in-depth understanding of the execution process of their generative AI applications such as agents, [AutoGen](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat), and retrieval augmented generation (RAG) use cases. It provides a detailed view of the execution flow, including the inputs and outputs of each node within the application. This essential information proves critical while debugging complex applications or optimizing performance.
 

articles/ai-studio/how-to/develop/trace-production-sdk.md

@@ -15,7 +15,7 @@ author: lgayhardt
 
 # Enable tracing and collect feedback for a flow deployment
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 After deploying a Generative AI APP in production, you might want to enhance your understanding and optimize performance. Trace data for each request, aggregated metrics, and user feedback play critical roles.
 

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

@@ -17,7 +17,7 @@ author: sdgilley
 
 # Get started with Azure AI Studio projects in VS Code (Preview)
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 Azure AI Studio supports developing in VS Code - Desktop and Web. In each scenario, your VS Code instance is remotely connected to a prebuilt custom container running on a virtual machine, also known as a compute instance.
 

articles/ai-studio/how-to/prompt-flow-tools/azure-open-ai-gpt-4v-tool.md

@@ -15,7 +15,7 @@ author: lgayhardt
 
 # Azure OpenAI GPT-4 Turbo with Vision tool in Azure AI Studio
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
 The prompt flow Azure OpenAI GPT-4 Turbo with Vision tool enables you to use your Azure OpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them.