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articles/ai-studio/how-to/deploy-models-cohere-command.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Cohere Command chat models
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Cohere Command chat models and how to use them.
 The Cohere family of models includes various models optimized for different use cases, including chat completions, embeddings, and rerank. Cohere models are optimized for various use cases that include reasoning, summarization, and question answering.
 

articles/ai-studio/how-to/deploy-models-cohere-embed.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-embeddings
 
 # How to use Cohere Embed V3 models with Azure AI Studio
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Cohere Embed V3 models and how to use them with Azure AI Studio.
 The Cohere family of models includes various models optimized for different use cases, including chat completions, embeddings, and rerank. Cohere models are optimized for various use cases that include reasoning, summarization, and question answering.
 

articles/ai-studio/how-to/deploy-models-jais.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Jais chat models
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Jais chat models and how to use them.
 JAIS 30b Chat is an autoregressive bi-lingual LLM for **Arabic** & **English**. The tuned versions use supervised fine-tuning (SFT). The model is fine-tuned with both Arabic and English prompt-response pairs. The fine-tuning datasets included a wide range of instructional data across various domains. The model covers a wide range of common tasks including question answering, code generation, and reasoning over textual content. To enhance performance in Arabic, the Core42 team developed an in-house Arabic dataset and translated some open-source English instructions into Arabic.
 

articles/ai-studio/how-to/deploy-models-jamba.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Jamba-Instruct chat models
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Jamba-Instruct chat models and how to use them.
 The Jamba-Instruct model is AI21's production-grade Mamba-based large language model (LLM) which uses AI21's hybrid Mamba-Transformer architecture. It's an instruction-tuned version of AI21's hybrid structured state space model (SSM) transformer Jamba model. The Jamba-Instruct model is built for reliable commercial use with respect to quality and performance.
 

articles/ai-studio/how-to/deploy-models-llama.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Meta Llama chat models
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Meta Llama chat models and how to use them.
 Meta Llama 2 and 3 models and tools are a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. The model family also includes fine-tuned versions optimized for dialogue use cases with reinforcement learning from human feedback (RLHF).
 

articles/ai-studio/how-to/deploy-models-mistral-nemo.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Mistral Nemo chat model
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Mistral Nemo chat model and how to use them.
 Mistral AI offers two categories of models. Premium models including [Mistral Large and Mistral Small](deploy-models-mistral.md), available as serverless APIs with pay-as-you-go token-based billing. Open models including [Mistral Nemo](deploy-models-mistral-nemo.md), [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](deploy-models-mistral-open.md); available to also download and run on self-hosted managed endpoints.
 

articles/ai-studio/how-to/deploy-models-mistral-open.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Mistral-7B and Mixtral chat models
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Mistral-7B and Mixtral chat models and how to use them.
 Mistral AI offers two categories of models. Premium models including [Mistral Large and Mistral Small](deploy-models-mistral.md), available as serverless APIs with pay-as-you-go token-based billing. Open models including [Mistral Nemo](deploy-models-mistral-nemo.md), [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](deploy-models-mistral-open.md); available to also download and run on self-hosted managed endpoints.
 

articles/ai-studio/how-to/deploy-models-mistral.md

@@ -16,6 +16,8 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 
 # How to use Mistral premium chat models
 
+[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
+
 In this article, you learn about Mistral premium chat models and how to use them.
 Mistral AI offers two categories of models. Premium models including [Mistral Large and Mistral Small](deploy-models-mistral.md), available as serverless APIs with pay-as-you-go token-based billing. Open models including [Mistral Nemo](deploy-models-mistral-nemo.md), [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](deploy-models-mistral-open.md); available to also download and run on self-hosted managed endpoints.
 

articles/azure-monitor/profiler/profiler-aspnetcore-linux.md

@@ -4,7 +4,7 @@ description: Learn how to enable Profiler on your ASP.NET Core web application h
 ms.topic: how-to
 ms.devlang: csharp
 ms.custom: devx-track-csharp, linux-related-content
-ms.date: 09/22/2023
+ms.date: 08/19/2024
 ms.reviewer: charles.weininger
 # Customer Intent: As a .NET developer, I'd like to enable Application Insights Profiler for my .NET web application hosted in Linux
 ---
@@ -14,9 +14,9 @@ ms.reviewer: charles.weininger
 By using Profiler, you can track how much time is spent in each method of your live ASP.NET Core web apps that are hosted in Linux on Azure App Service. This article focuses on web apps hosted in Linux. You can also experiment by using Linux, Windows, and Mac development environments.
 
 In this article, you:
-
-- Set up and deploy an ASP.NET Core web application hosted on Linux.
-- Add Application Insights Profiler to the ASP.NET Core web application.
+> [!div class="checklist"]
+> - Set up and deploy an ASP.NET Core web application hosted on Linux.
+> - Add Application Insights Profiler to the ASP.NET Core web application.
 
 ## Prerequisites
 

articles/azure-monitor/profiler/profiler-azure-functions.md

@@ -1,13 +1,13 @@
 ---
-title: Profile Azure Functions app with Application Insights Profiler
+title: Enable Profiler for Azure Functions apps
 description: Enable Application Insights Profiler for Azure Functions app.
 ms.contributor: charles.weininger
-ms.topic: conceptual
-ms.date: 09/22/2023
+ms.topic: how-to
+ms.date: 08/16/2024
 ms.reviewer: ryankahng
 ---
 
-# Profile live Azure Functions app with Application Insights
+# Enable Profiler for Azure Functions apps
 
 In this article, you'll use the Azure portal to:
 - View the current app settings for your Functions app. 
@@ -67,7 +67,7 @@ From your Functions app overview page in the Azure portal:
 
 The app settings now show up in the table:
 
-   :::image type="content" source="./media/profiler-azure-functions/app-settings-table.png" alt-text="Screenshot showing the two new app settings in the table on the configuration pane.":::
+:::image type="content" source="./media/profiler-azure-functions/app-settings-table.png" alt-text="Screenshot showing the two new app settings in the table on the configuration pane.":::
 
 
 > [!NOTE]