Merge pull request #6151 from MicrosoftDocs/main

Auto Publish – main to live - 2025-07-22 05:04 UTC

Author: learn-build-service-prod[bot]

articles/ai-foundry/openai/how-to/gpt-with-vision.md

@@ -37,7 +37,7 @@ Send a POST request to `https://{RESOURCE_NAME}.openai.azure.com/openai/deployme
 - `api-key`: {API_KEY} 
 
 **Body**: 
-The following is a sample request body. The format is the same as the chat completions API for GPT-4, except that the message content can be an array containing text and images (either a valid HTTP or HTTPS URL to an image, or a base-64-encoded image). 
+The following is a sample request body. The format is the same as the chat completions API for GPT-4, except that the message content can be an array containing text and images (either a valid publicly accessible HTTP or HTTPS URL to an image, or a base-64-encoded image).
 
 > [!IMPORTANT]
 > Remember to set a `"max_tokens"` value, or the return output will be cut off.

articles/ai-foundry/openai/includes/gpt-v-dotnet.md

@@ -116,6 +116,8 @@ To run the quickstart, follow these steps:
     Console.WriteLine($"{chatCompletion.Content[0].Text}");
     ```
 
+1. Replace `YOUR_IMAGE_URL` with the publicly accessible of the image you want to upload.
+
 1. Run the application using the `dotnet run` command or the run button at the top of Visual Studio:
 
     ```dotnetcli

articles/ai-foundry/openai/includes/gpt-v-javascript.md

@@ -68,7 +68,7 @@ For the recommended keyless authentication with Microsoft Entra ID, you need to:
 
 ## Create a new JavaScript application for image prompts
 
-Select an image from the [azure-samples/cognitive-services-sample-data-files](https://github.com/Azure-Samples/cognitive-services-sample-data-files/tree/master/ComputerVision/Images). Use the image URL in the code below or set the `IMAGE_URL` environment variable to the image URL.
+Select an image from the [azure-samples/cognitive-services-sample-data-files](https://github.com/Azure-Samples/cognitive-services-sample-data-files/tree/master/ComputerVision/Images). Enter your publicly accessible image URL in the code below or set the `IMAGE_URL` environment variable to it.
 
 > [!IMPORTANT]
 > If you use a SAS URL to an image stored in Azure blob storage, you need to enable Managed Identity and assign the **Storage Blob Reader** role to your Azure OpenAI resource (do this in the Azure portal). This allows the model to access the image in blob storage.

articles/ai-foundry/openai/includes/gpt-v-python.md

@@ -87,7 +87,7 @@ Create a new Python file named _quickstart.py_. Open the new file in your prefer
 
 1. Make the following changes:
     1. Enter the name of your GPT-4 Turbo with Vision deployment in the appropriate field.
-    1. Change the value of the `"url"` field to the URL of your image.
+    1. Change the value of the `"url"` field to the publicly accessible URL of your image.
         > [!TIP]
         > You can also use a base 64 encoded image data instead of a URL. For more information, see the [GPT-4 Turbo with Vision how-to guide](../how-to/gpt-with-vision.md#use-a-local-image).
 1. Run the application with the `python` command:

articles/ai-foundry/openai/includes/gpt-v-rest.md

@@ -88,7 +88,7 @@ Create a new Python file named _quickstart.py_. Open the new file in your prefer
 1. Make the following changes:
     1. Enter your endpoint URL and key in the appropriate fields.
     1. Enter your GPT-4 Turbo with Vision deployment name in the appropriate field. 
-    1. Change the value of the `"image"` field to the URL of your image.
+    1. Change the value of the `"image"` field to the publicly accessible URL of your image.
         > [!TIP]
         > You can also use a base 64 encoded image data instead of a URL. For more information, see the [GPT-4 Turbo with Vision how-to guide](../how-to/gpt-with-vision.md#use-a-local-image).
 1. Run the application with the `python` command:

articles/ai-services/translator/solutions/overview.md

@@ -19,10 +19,10 @@ ms.author: lajanuar
 
 Azure AI Translator offers the following prebuilt solutions:
 
-* [**Language Studio**](../document-translation/language-studio.md). Azure AI Translator in the [Azure AI Language Studio](https://language.cognitive.azure.com/home) is a no-code user interface that lets you interactively translate documents from local or Azure Blob Storage. 
-
 * [**Microsoft Translator Pro**](translator-pro/overview.md). Microsoft Translator Pro is an advanced mobile application, designed specifically for enterprises, that enables seamless speech-to-speech translation in real time.
 
+* [**Language Studio**](../document-translation/language-studio.md). Azure AI Translator in the [Azure AI Language Studio](https://language.cognitive.azure.com/home) is a no-code user interface that lets you interactively translate documents from local or Azure Blob Storage. 
+
 * [**Translator v3 connector for documents**](../connector/document-translation-flow.md) and [**Translator v3 connector for text**](../solutions/connector/text-translator-flow.md). The Microsoft Translator v3 connectors create a link between your Translator Service instance and Microsoft Power Automate enabling you to incorporate one or more prebuilt operations into your apps and workflows.
 
 

articles/ai-services/translator/toc.yml

@@ -359,21 +359,19 @@ items:
       href: translator-pro/language-support.md
     - name: FAQ
       href: translator-pro/faq.yml
-    - name: Responsible AI and compliance
-      items:
-      - name: Transparency note
-        href: ../../ai-foundry/responsible-ai/translator/translator-pro-transparency-note.md
-    - name: Translate using Language Studio
-      displayName: quickstart, how to, interface
-      href: document-translation/language-studio.md
-    - name: Translator v3 connector
-      items:
-      - name: "Automate document translation (preview)"
-        displayName: connect, power, automate, flow
-        href: connector/document-translation-flow.md
-      - name: Automate text translation (preview)
-        displayName: connect, power, automate, flow
-        href: solutions/connector/text-translator-flow.md
+    - name: Transparency note
+      href: ../../ai-foundry/responsible-ai/translator/translator-pro-transparency-note.md
+  - name: Translate using Language Studio
+    displayName: quickstart, how to, interface
+    href: document-translation/language-studio.md
+  - name: Translator v3 connector
+    items:
+    - name: "Automate document translation (preview)"
+      displayName: connect, power, automate, flow
+      href: connector/document-translation-flow.md
+    - name: Automate text translation (preview)
+      displayName: connect, power, automate, flow
+      href: solutions/connector/text-translator-flow.md
 - name: Responsible AI
   items:
   - name: Transparency note