Merge branch 'main' of github.com:MicrosoftDocs/azure-ai-docs-pr into sdg-freshness-update

Author: sdgilley

articles/ai-services/content-safety/overview.md

@@ -7,7 +7,7 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-content-safety
 ms.topic: overview
-ms.date: 02/21/2025
+ms.date: 02/27/2025
 ms.author: pafarley
 keywords: content safety, Azure AI Content Safety, online content safety, content filtering software, content moderation service, content moderation
 ms.custom: references_regions, build-2023, build-2023-dataai
@@ -136,6 +136,7 @@ See the following list for the input requirements for each feature.
 - **Groundedness detection API (preview)**: 
   - Maximum length for grounding sources: 55,000 characters (per API call).
   - Maximum text and query length: 7,500 characters.
+  - Minimum text and query length: 3 words.
 - **Protected material detection APIs**: 
   - Default maximum length: 10K characters.
   - Default minimum length: 110 characters (for scanning LLM completions, not user prompts).

articles/ai-studio/azure-openai-in-ai-studio.md

@@ -16,7 +16,7 @@ ms.custom: ignite-2023, build-2024, ignite-2024
 
 # What is Azure OpenAI in Azure AI Foundry portal?
 
-Azure OpenAI Service provides REST API access to OpenAI's powerful language models. Azure OpenAI Studio was previously where you went to access and work with the Azure OpenAI Service. This studio is now integrated into Azure AI Foundry portal. 
+Azure OpenAI Service provides REST API access to OpenAI's powerful language models. Azure OpenAI Studio was previously where you went to access and work with the Azure OpenAI Service. This studio is now integrated into [Azure AI Foundry portal](https://ai.azure.com). 
 
 ## Access Azure OpenAI Service in Azure AI Foundry portal
 

articles/ai-studio/faq.yml

@@ -14,7 +14,7 @@ metadata:
   author: sdgilley
 title: Azure AI Foundry frequently asked questions
 summary: |
-  If you can't find answers to your questions in this document, and still need help check the [Azure AI services support options guide](../ai-services/cognitive-services-support-options.md?context=/azure/ai-services/openai/context/context). Azure OpenAI is part of Azure AI services.
+  FAQ for [Azure AI Foundry](https://ai.azure.com). If you can't find answers to your questions in this document, and still need help check the [Azure AI services support options guide](../ai-services/cognitive-services-support-options.md?context=/azure/ai-services/openai/context/context). Azure OpenAI is part of Azure AI services.
 sections:
   - name: General questions
     questions:

articles/ai-studio/how-to/create-manage-compute-session.md

@@ -20,7 +20,7 @@ author: sdgilley
 
 [!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
-You need a compute session to run [prompt flows](prompt-flow.md). Use Azure AI Foundry to create and manage prompt flow compute sessions.
+You need a compute session to run [prompt flows](prompt-flow.md). Use [Azure AI Foundry](https://ai.azure.com) to create and manage prompt flow compute sessions.
 
 A prompt flow compute session has computing resources that are required for the application to run, including a Docker image that contains all necessary dependency packages. In addition to flow execution, Azure AI Foundry uses the compute session to ensure the accuracy and functionality of the tools incorporated within the flow when you make updates to the prompt or code content.
 

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

@@ -18,7 +18,7 @@ author: sdgilley
 
 # Create a project in Azure AI Foundry portal
 
-This article describes how to create an Azure AI Foundry project. A project is used to organize your work and save state while building customized AI apps. 
+This article describes how to create an [Azure AI Foundry](https://ai.azure.com) project. A project is used to organize your work and save state while building customized AI apps. 
 
 Projects are hosted by an Azure AI Foundry hub. If your company has an administrative team that has created a hub for you, you can create a project from that hub. If you are working on your own, you can create a project and a default hub will automatically be created for you.
 

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

@@ -1,58 +1,59 @@
 ---
 title: How to get started with an AI template
 titleSuffix: Azure AI Foundry
-description: This article provides instructions on how to get started with an AI template.
+description: This article provides instructions on how to use an AI template to get started with Azure AI Foundry.
 manager: scottpolly
 ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2024
 ms.topic: how-to
-ms.date: 01/02/2025
-ms.reviewer: dantaylo
+ms.date: 02/20/2025
+ms.reviewer: varundua
 ms.author: sgilley
 author: sdgilley
+#customer intent: As a developer, I want to jump start my journey with an AI template.
 ---
 
-# How to get started with an AI template
+# Get started with an AI template
+
+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.
 
 [!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.
+## Prerequisites
 
-> [!TIP]
-> Discover the latest templates in our curated [AZD templates collection](https://aka.ms/azd-ai-templates). Deploy them with a single command ```azd up``` using the [Azure Developer CLI](/azure/developer/azure-developer-cli/). 
+- [Azure subscription](https://azure.microsoft.com/free)
+- An [Azure AI Foundry project](../create-projects.md).
 
 ## Start with a sample application
 
-Start with our sample applications! Choose the right template for your needs, then refer to the README in any of the following Azure Developer CLI enabled templates for more instructions and information.
+1. Go to [Azure AI Foundry portal](https://ai.azure.com).
+1. Open your project in Azure AI Foundry portal.
+1. On the left menu, select **Code** (preview).
+1. Find the solution template you want to use.
+1. Select **Open in Github** to view the entire sample application.
+1. Or, clone the repository to your local machine with the provided command.
+1. In some cases, you can also view a step-by-step tutorial that explains the AI code.
 
-### [Python](#tab/python)
+## Explore the sample application
 
-| Template      | App host | Tech stack | Description |
-| ----------- | ----------| ----------- | ------------|
-| [Azure AI Basic Template with Python](https://github.com/azure-samples/azureai-basic-python) | [Azure AI Foundry online endpoints](/azure/machine-learning/concept-endpoints-online) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), Bicep | The app serves as a straightforward example of integrating Azure AI Services within a basic prompt-based application. This template walks you through building a simple chat app that utilizes models and prompts. The template also covers setting up the necessary infrastructure for the app, including creating an Azure AI Foundry Hub, configuring projects, and provisioning essential resources such as Azure AI Service, Azure Container Apps, Cognitive Search, and more. <br>You can build, deploy, and test it with a single command.  |
-| [Contoso Chat Retail copilot with Azure AI Foundry](https://github.com/Azure-Samples/contoso-chat) | [Azure Container Apps](/azure/container-apps/overview) | [Azure Cosmos DB](/azure/cosmos-db/index-overview), [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [Azure AI Search](/azure/search/search-what-is-azure-search), Bicep  | A retailer conversation agent that can answer questions grounded in your product catalog and customer order history. This template uses a retrieval augmented generation architecture with cutting-edge models for chat completion, chat evaluation, and embeddings. Build, evaluate, and deploy, an end-to-end solution with a single command. | 
-| [Process Automation: speech to text and summarization with Azure AI Foundry](https://github.com/Azure-Samples/summarization-openai-python-prompflow) | [Azure AI Foundry online endpoints](/azure/machine-learning/concept-endpoints-online) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [Azure AI speech to text service](../../../ai-services/speech-service/index-speech-to-text.yml), Bicep  | An app for workers to report issues via text or speech, translating audio to text, summarizing it, and specify the relevant department. | 
-| [Multi-Modal Creative Writing copilot with Dalle](https://github.com/Azure-Samples/agent-openai-python-prompty) | [Azure AI Foundry online endpoints](/azure/machine-learning/concept-endpoints-online) | [Azure AI Search](/azure/search/search-what-is-azure-search), [Azure OpenAI Service](../../../ai-services/openai/overview.md), Bicep | demonstrates how to create and work with AI agents. The app takes a topic and instruction input and then calls a research agent, writer agent, and editor agent. |  
-| [Assistant API Analytics Copilot with Python and Azure AI Foundry](https://github.com/Azure-Samples/assistant-data-openai-python-promptflow) | [Azure AI Foundry online endpoints](/azure/machine-learning/concept-endpoints-online) |  [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure AI Search](/azure/search/search-what-is-azure-search), [Azure OpenAI Service](../../../ai-services/openai/overview.md), Bicep| A data analytics chatbot based on the Assistants API. The chatbot can answer questions in natural language, and interpret them as queries on an example sales dataset. |
-<!-- remove for now
-| Function Calling with Prompty, LangChain, and Pinecone | [Azure AI Foundry online endpoints](/azure/machine-learning/concept-endpoints-online) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [LangChain](https://python.langchain.com/v0.1/docs/get_started/introduction), [Pinecone](https://www.pinecone.io/), Bicep  | Utilize the new Prompty tool, LangChain, and Pinecone to build a large language model (LLM) search agent. This agent with Retrieval-Augmented Generation (RAG) technology is capable of answering user questions based on the provided data by integrating real-time information retrieval with generative responses. | 
-| Function Calling with Prompty, LangChain, and Elastic Search | [Azure AI Foundry online endpoints](/azure/machine-learning/concept-endpoints-online) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [Elastic Search](https://www.elastic.co/elasticsearch), [LangChain](https://python.langchain.com/v0.1/docs/get_started/introduction) , Bicep  | Utilize the new Prompty tool, LangChain, and Elasticsearch to build a large language model (LLM) search agent. This agent with Retrieval-Augmented Generation (RAG) technology is capable of answering user questions based on the provided data by integrating real-time information retrieval with generative responses |
--->
+Once you're looking at the GitHub repository for your sample, refer to the README for more instructions and information on how to deploy your own version of the application.
 
+Instructions vary by sample, but most include how to:
 
-### [C#](#tab/csharp)
+* Open the solution in the location of your choice:
+  * GitHub Codespaces
+  * VS Code Dev Containers
+  * Your local IDE
+* Deploy the application to Azure
+* How to test the app
 
-| Template      | App host | Tech stack | Description |
-| ----------- | ----------| ----------- | -------------- |
-| [Contoso Chat Retail copilot with .NET and Semantic Kernel](https://github.com/Azure-Samples/contoso-chat-csharp-prompty) | [Azure Container Apps](/azure/container-apps/overview) | [Azure Cosmos DB](/azure/cosmos-db/index-overview), [Azure Monitor](/azure/azure-monitor/overview), [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure Container Apps](/azure/container-apps/overview), [Azure AI Search](/azure/search/search-what-is-azure-search), [Azure OpenAI Services](../../../ai-services/openai/overview.md), [Semantic Kernel](/semantic-kernel/overview/?tabs=Csharp), Bicep | A retailer conversation agent that can answer questions grounded in your product catalog and customer order history. This template uses a retrieval augmented generation architecture with cutting-edge models for chat completion, chat evaluation, and embeddings. Build, evaluate, and deploy, an end-to-end solution with a single command. |
-| [Process Automation: speech to text and summarization with .NET and GPT 3.5 Turbo](https://github.com/Azure-Samples/summarization-openai-csharp-prompty) | [Azure Container Apps](/azure/container-apps/overview) | [Azure Managed Identity](/entra/identity/managed-identities-azure-resources/overview), [Azure OpenAI Service](../../../ai-services/openai/overview.md), [Azure AI speech to text service](../../../ai-services/speech-service/index-speech-to-text.yml), Bicep | An app for workers to report issues via text or speech, translating audio to text, summarizing it, and specify the relevant department. |
-
----
+The README also includes information about the application, such as the use case, architecture, and pricing information.
 
+> [!TIP]
+> Discover more templates in our curated [AZD templates collection](https://azure.github.io/ai-app-templates). Deploy them with a single command ```azd up``` using the [Azure Developer CLI](/azure/developer/azure-developer-cli/).
 
 ## Related content
 
-- [Get started building a chat app using the prompt flow SDK](../../quickstarts/get-started-code.md)
-- [Work with projects in VS Code](vscode.md)
-- [Connections in Azure AI Foundry portal](../../concepts/connections.md)
+- [Get started building a chat app using the Azure AI Foundry SDK](../../quickstarts/get-started-code.md)
+- [Develop AI apps using Azure AI services](/azure/developer/ai/)

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

@@ -16,7 +16,7 @@ author: sdgilley
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
-In this article, you learn how to create the following Azure AI Foundry resources using the Azure Machine Learning SDK and Azure CLI (with machine learning extension):
+In this article, you learn how to create the following [Azure AI Foundry](https://ai.azure.com) resources using the Azure Machine Learning SDK and Azure CLI (with machine learning extension):
 - An Azure AI Foundry hub
 - An Azure AI Services connection
 

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

@@ -20,7 +20,7 @@ author: sdgilley
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
-Azure AI Foundry 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.
+[Azure AI Foundry](https://ai.azure.com) 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.
 
 ## Launch VS Code from Azure AI Foundry
 

articles/ai-studio/tutorials/screen-reader.md

@@ -20,7 +20,7 @@ This article is for people who use screen readers such as [Microsoft's Narrator]
 
 ## Getting oriented in Azure AI Foundry portal 
 
-Most Azure AI Foundry pages are composed of the following landmark structure: 
+Most [Azure AI Foundry](https://ai.azure.com) pages are composed of the following landmark structure: 
 
 - Banner (contains Azure AI Foundry app title, settings, and profile information)
     - Might sometimes contain a breadcrumb navigation element