Merge pull request #873 from msakande/update-preview-note-in-AI-studio-docs

Update preview note in ai studio docs

Author: denrea

articles/ai-studio/concepts/evaluation-approach-gen-ai.md

@@ -16,7 +16,7 @@ author: lgayhardt
 
 # Evaluation of generative AI applications
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 Advancements in language models such as GPT-4 via Azure OpenAI Service offer great promise while coming with challenges related to responsible AI. If not designed carefully, systems built upon these models can perpetuate existing societal biases, promote misinformation, create manipulative content, or lead to a wide range of other negative impacts. Addressing these risks while maximizing benefits to users is possible with an iterative approach through four stages: [identify, measure, and mitigate, operate](https://aka.ms/LLM-RAI-devstages).
 

articles/ai-studio/concepts/evaluation-improvement-strategies.md

@@ -16,7 +16,7 @@ author: lgayhardt
 
 # Content risk mitigation strategies with Azure AI
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 Mitigating content risks and poor quality generations presented by large language models (LLMs) such as the Azure OpenAI models requires an iterative, layered approach that includes experimentation and continual measurement. We recommend developing a mitigation plan that encompasses four layers of mitigations for the identified risks in the earlier stages of the process:
 

articles/ai-studio/concepts/evaluation-metrics-built-in.md

@@ -17,7 +17,7 @@ author: lgayhardt
 
 # Evaluation and monitoring metrics for generative AI
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 Azure AI Studio allows you to evaluate single-turn or complex, multi-turn conversations where you ground the generative AI model in your specific data (also known as Retrieval Augmented Generation or RAG). You can also evaluate general single-turn query and response scenarios, where no context is used to ground your generative AI model (non-RAG). Currently, we support built-in metrics for the following task types:
 

articles/ai-studio/concepts/fine-tuning-overview.md

@@ -15,7 +15,7 @@ author: sdgilley
 
 # Fine-tune models in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 Fine-tuning retrains an existing large language model (LLM) by using example data. The result is a new, custom LLM that's optimized for the provided examples.
 

articles/ai-studio/concepts/safety-evaluations-transparency-note.md

@@ -15,7 +15,7 @@ author: lgayhardt
 
 # Transparency Note for Azure AI Studio safety evaluations
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 ## What is a Transparency Note
 

articles/ai-studio/concepts/vulnerability-management.md

@@ -15,7 +15,7 @@ author: Blackmist
 
 # Vulnerability management for Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 Vulnerability management involves detecting, assessing, mitigating, and reporting on any security vulnerabilities that exist in an organization's systems and software. Vulnerability management is a shared responsibility between you and Microsoft.
 

articles/ai-studio/how-to/autoscale.md

@@ -16,7 +16,7 @@ author: Blackmist
 
 # Autoscale Azure AI limits
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 This article provides guidance for how you can manage and increase quotas for resources with Azure AI Studio.
 

articles/ai-studio/how-to/concept-data-privacy.md

@@ -40,7 +40,7 @@ When you deploy a model from the model catalog (base or fine-tuned) by using ser
 
 The model processes your input prompts and generates outputs based on its functionality, as described in the model details. Your use of the model (along with the provider's accountability for the model and its outputs) is subject to the license terms for the model. Microsoft provides and manages the hosting infrastructure and API endpoint. The models hosted in this *model as a service* (MaaS) scenario are subject to Azure data, privacy, and security commitments. [Learn more about Azure compliance offerings applicable to Azure AI Studio](https://servicetrust.microsoft.com/DocumentPage/7adf2d9e-d7b5-4e71-bad8-713e6a183cf3).
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 Microsoft acts as the data processor for prompts and outputs sent to, and generated by, a model deployed for pay-as-you-go inferencing (MaaS). Microsoft doesn't share these prompts and outputs with the model provider. Also, Microsoft doesn't use these prompts and outputs to train or improve Microsoft models, the model provider's models, or any third party's models.
 

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

@@ -17,7 +17,7 @@ author: Blackmist
 
 # How to add a new connection in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 In this article, you learn how to add a new connection in Azure AI Studio.
 

articles/ai-studio/how-to/costs-plan-manage.md

@@ -16,7 +16,7 @@ author: Blackmist
 
 # Plan and manage costs for Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+[!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
 This article describes how you plan for and manage costs for Azure AI Studio. First, you use the Azure pricing calculator to help plan for Azure AI Studio costs before you add any resources for the service to estimate costs. Next, as you add Azure resources, review the estimated costs.