Fix bad links

Author: bojunehsu

articles/ai-services/content-understanding/quickstart/use-rest-api.md

@@ -26,11 +26,7 @@ To get started, you need **an active Azure subscription**. If you don't have an
 
      :::image type="content" source="../media/overview/azure-multi-service-resource.png" alt-text="Screenshot of the AI Foundry resource page in the Azure portal.":::
 
-* In this quickstart, we use the cURL command line tool. If it isn't installed, you can download a version for your dev environment:
-
-  * [Windows](https://curl.haxx.se/windows/)
-  * [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows)
-
+In this guide, we use the cURL command line tool. If it isn't installed, you can [download](https://everything.curl.dev/install/index.html) the appropriate version for your dev environment.
 
 ## Get started with a prebuilt analyzer
 

articles/ai-services/content-understanding/tutorial/build-rag-solution.md

@@ -36,7 +36,7 @@ To get started, you need **An active Azure subscription**. If you don't have an
 * **Azure AI Search Resource:** Set up an [Azure AI Search resource](../../../search/search-create-service-portal.md) to enable indexing and retrieval of multimodal data.
 * **Azure OpenAI Chat Model Deployment:** Deploy an [Azure OpenAI chat model](../../openai/how-to/deployment-types.md) that enables conversational interactions.
 * **Embedding Model Deployment:** Ensure you have an embedding model deployed to generate vector representations for semantic search.
-* **API Version:** This tutorial uses the latest preview [API version](/rest/api/contentunderstanding/analyzers?view=rest-contentunderstanding-2024-12-01-preview&preview&preserve-view=true): `2024-12-01-preview`.
+* **API Version:** This tutorial uses the latest preview [API version](/rest/api/contentunderstanding/operation-groups?preserve-view=true).
 * **Python Environment:** Install [Python 3.11](https://www.python.org/downloads/) to execute the provided code samples and scripts.
 * This tutorial follows this sample code can be found in our [Python notebook](https://github.com/Azure-Samples/azure-ai-search-with-content-understanding-python#samples). Follow the [README](https://github.com/Azure-Samples/azure-ai-search-with-content-understanding-python/blob/main/README.md) to create essential resources, grant resources the right Access control(IAM) roles and install all packages needed for this tutorial.
 * The multimodal data used in this tutorial consists of documents, images, audio, and video. They're designed to guide you through the process of building a robust RAG solution with Azure AI Content Understanding.

articles/ai-services/content-understanding/tutorial/create-custom-analyzer.md

@@ -14,10 +14,7 @@ ms.date: 05/19/2025
 
 Content Understanding analyzers define how to process and extract insights from your content. They ensure uniform processing and output structure across all your content to deliver reliable and predictable results. We offer [prebuilt analyzers](../concepts/prebuilt-analyzers.md) for common use cases. This guide shows how these analyzers can be customized to better fit your needs.
 
-In this guide, we use the cURL command line tool. If it isn't installed, you can download the appropriate version for your dev environment:
-
-  * [Windows](https://curl.haxx.se/windows/)
-  * [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows)
+In this guide, we use the cURL command line tool. If it isn't installed, you can [download](https://everything.curl.dev/install/index.html) the appropriate version for your dev environment.
 
 ## Define an analyzer schema