update language

Author: PatrickFarley

articles/ai-services/openai/concepts/gpt-4-v-prompt-engineering.md

@@ -1,7 +1,7 @@
 ---
 title: Image prompt engineering techniques
 titleSuffix: Azure OpenAI
-description: Learn how to better engineer image prompts for GPT-4 Turbo with Vision.
+description: Learn how to better engineer image prompts for vision-enabled chat models.
 author: PatrickFarley
 ms.author: pafarley
 ms.service: azure-ai-openai
@@ -12,7 +12,7 @@ manager: nitinme
 
 # Image prompt engineering techniques
 
-To unlock the full potential of GPT-4 Turbo with Vision, it's essential to tailor the prompts to your specific needs. Here are some guidelines to enhance the accuracy and efficiency of your prompts.
+To unlock the full potential of vision-enabled chat models like GPT-4 Turbo with Vision and GPT-4o, it's essential to tailor the prompts to your specific needs. Here are some guidelines to enhance the accuracy and efficiency of your prompts.
 
 ## Fundamentals of crafting your image prompt
 - **Contextual specificity:** Adding context to the scenario at hand gives the model a better understanding of an appropriate output. This level of specificity aids in focusing on relevant aspects and avoiding extraneous details.
@@ -95,4 +95,4 @@ When you receive a refusal output from a model, there are several ways you can t
 |:::image type="content" source="../media/concepts/gpt-v/rental-listing.jpg" lightbox="../media/concepts/gpt-v/rental-listing.jpg" alt-text="Photograph of a white villa in a tropical region with a pool."::: You are an AI assistant that writes detailed listings for vacation rental properties. Summarize in three sentences the optimal features of the listing, based on only what is visible in the image. Conclude with one sentence on why the customer should book today. | This idyllic villa showcases an inviting private pool with steps for easy access, framed by a beautifully tiled sun deck and comfortable loungers ideal for soaking up the sun or enjoying a good book under the shade of tropical palms. Architectural charm is evident in the villa's design, featuring elegant archways, a thatched-roof gazebo, and balconies that promise serene views and a perfect spot to savor your morning or evening beverages. The lush greenery surrounding the property not only provides privacy but also enhances the sense of an exclusive paradise retreat. Don't miss the opportunity to secure this perfect blend of luxury and tranquility – book today for a tropical escape like no other! |
 
 
-These guidelines and examples demonstrate how tailored system prompts can significantly enhance the performance of GPT-4 Turbo with Vision, ensuring that the responses are not only accurate but also perfectly suited to the specific context of the task at hand.
+These guidelines and examples demonstrate how tailored system prompts can significantly enhance the performance of vision-enabled models, ensuring that the responses are not only accurate but also perfectly suited to the specific context of the task at hand.

articles/ai-services/openai/concepts/gpt-with-vision.md

@@ -1,5 +1,5 @@
 ---
-title: GPT-4 Turbo with Vision concepts
+title: Vision-enabled chat model concepts
 titleSuffix: Azure OpenAI
 description: Learn concepts related to using images in your AI model chats, enabled through GPT-4 Turbo with Vision and other models.
 author: PatrickFarley
@@ -10,15 +10,15 @@ ms.date: 09/24/2024
 manager: nitinme
 ---
 
-# GPT-4 Turbo with Vision concepts
+# Vision-enabled chat model concepts
 
-GPT-4 Turbo with Vision is a large multimodal model (LMM) developed by OpenAI that can analyze images and provide textual responses to questions about them. It incorporates both natural language processing and visual understanding. This guide provides details on the capabilities and limitations of GPT-4 Turbo with Vision.
+Vision-enabled chat models are large multimodal models (LMM) developed by OpenAI that can analyze images and provide textual responses to questions about them. They incorporate both natural language processing and visual understanding. The current vision-enabled models are GPT-4 Turbo with Vision, GPT-4o, and GPT-4o-mini. This guide provides details on their capabilities and limitations.
 
-To try out GPT-4 Turbo with Vision, see the [quickstart](/azure/ai-services/openai/gpt-v-quickstart).
+To try out vision-enabled chat models, see the [quickstart](/azure/ai-services/openai/gpt-v-quickstart).
 
-## Chats with vision
+## Vision-enabled chats
 
-The GPT-4 Turbo with Vision model answers general questions about what's present in the images or videos you upload.
+The vision-enabled models answer general questions about what's present in the images or videos you upload.
 
 
 ## Special pricing information
@@ -89,6 +89,6 @@ This section describes the limitations of GPT-4 Turbo with Vision.
 
 ## Next steps
 
-- Get started using GPT-4 Turbo with Vision by following the [quickstart](/azure/ai-services/openai/gpt-v-quickstart).
+- Get started using vision-enabled models by following the [quickstart](/azure/ai-services/openai/gpt-v-quickstart).
 - For a more in-depth look at the APIs, and to use video prompts in chat, follow the [how-to guide](../how-to/gpt-with-vision.md).
 - See the [completions and embeddings API reference](../reference.md)

articles/ai-services/openai/gpt-v-quickstart.md

@@ -1,7 +1,7 @@
 ---
-title: 'Quickstart: Use GPT-4 Turbo with Vision on your images and videos with the Azure OpenAI Service'
+title: 'Quickstart: Use vision-enabled models with the Azure OpenAI Service'
 titleSuffix: Azure OpenAI
-description: Use this article to get started using Azure OpenAI to deploy and use the GPT-4 Turbo with Vision model. 
+description: Use this article to get started using Azure OpenAI to deploy and use the GPT-4 Turbo with Vision model or other vision-enabled models. 
 services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
@@ -60,6 +60,6 @@ Get started using GPT-4 Turbo with images with the Azure OpenAI Service.
 
 ## Next steps
 
-* Learn more about these APIs in the [GPT-4 Turbo with Vision how-to guide](./gpt-v-quickstart.md)
+* Learn more about these APIs in the [Vision-enabled models how-to guide](./gpt-v-quickstart.md)
 * [GPT-4 Turbo with Vision frequently asked questions](./faq.yml#gpt-4-turbo-with-vision)
 * [GPT-4 Turbo with Vision API reference](https://aka.ms/gpt-v-api-ref)

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

@@ -1,7 +1,7 @@
 ---
-title: How to use the GPT-4 Turbo with Vision model
+title: How to use vision-enabled chat models
 titleSuffix: Azure OpenAI Service
-description: Learn about the options for using GPT-4 Turbo with Vision
+description: Learn about the options for using vision-enabled chat models
 author: PatrickFarley #dereklegenzoff
 ms.author: pafarley #delegenz
 ms.service: azure-ai-openai
@@ -10,15 +10,15 @@ ms.date: 08/21/2024
 manager: nitinme
 ---
 
-# Use GPT-4 Turbo with Vision
+# Use vision-enabled chat models
 
 
-GPT-4 Turbo with Vision is a large multimodal model (LMM) developed by OpenAI that can analyze images and provide textual responses to questions about them. It incorporates both natural language processing and visual understanding.
+Vision-enabled chat models are large multimodal models (LMM) developed by OpenAI that can analyze images and provide textual responses to questions about them. They incorporate both natural language processing and visual understanding. The current vision-enabled models are GPT-4 Turbo with Vision, GPT-4o, and GPT-4o-mini.
 
-The GPT-4 Turbo with Vision model answers general questions about what's present in images.
+The vision-enabled models answer general questions about what's present in the images or videos you upload.
 
 > [!TIP]
-> To use GPT-4 Turbo with Vision, you call the Chat Completion API on a GPT-4 Turbo with Vision model that you have deployed. If you're not familiar with the Chat Completion API, see the [GPT-4 Turbo & GPT-4 how-to guide](/azure/ai-services/openai/how-to/chatgpt?tabs=python&pivots=programming-language-chat-completions).
+> To use vision-enabled models, you call the Chat Completion API on a supported model that you have deployed. If you're not familiar with the Chat Completion API, see the [Vision-enabled chat how-to guide](/azure/ai-services/openai/how-to/chatgpt?tabs=python&pivots=programming-language-chat-completions).
 
 ## GPT-4 Turbo model upgrade
 
@@ -371,6 +371,6 @@ Every response includes a `"finish_reason"` field. It has the following possible
 ## Next steps
 
 * [Learn more about Azure OpenAI](../overview.md).
-* [GPT-4 Turbo with Vision quickstart](../gpt-v-quickstart.md)
+* [Vision-enabled chats quickstart](../gpt-v-quickstart.md)
 * [GPT-4 Turbo with Vision frequently asked questions](../faq.yml#gpt-4-turbo-with-vision)
 * [GPT-4 Turbo with Vision API reference](https://aka.ms/gpt-v-api-ref)

articles/ai-services/openai/index.yml

@@ -40,7 +40,7 @@ landingContent:
         links:
            - text: Chat completions
              url: chatgpt-quickstart.md
-           - text: GPT-4 Turbo with Vision
+           - text: Vision-enabled models
              url: gpt-v-quickstart.md  
            - text: DALL-E
              url: dall-e-quickstart.md
@@ -98,7 +98,7 @@ landingContent:
                url: ./how-to/role-based-access-control.md 
              - text: GPT-3.5 Turbo & GPT-4
                url:  ./how-to/chatgpt.md
-             - text: GPT-4 Turbo with Vision
+             - text: Vision-enabled models
                url:  ./how-to/gpt-with-vision.md
              - text: Provisioned Throughput Units (PTU) 
                url: ./how-to/provisioned-throughput-onboarding.md

articles/ai-services/openai/overview.md

@@ -22,7 +22,7 @@ Azure OpenAI Service provides REST API access to OpenAI's powerful language mode
 | --- | --- |
 | Models available | **o1-preview** & **o1-mini** - (Limited Access - [Request Access](https://aka.ms/oai/modelaccess))<br>**GPT-4o & GPT-4o mini**<br> **GPT-4 series (including GPT-4 Turbo with Vision)** <br>**GPT-3.5-Turbo series**<br> Embeddings series <br> Learn more in our [Models](./concepts/models.md) page.|
 | Fine-tuning | `GPT-4o-mini` (preview) <br> `GPT-4` (preview) <br>`GPT-3.5-Turbo` (0613) <br> `babbage-002` <br> `davinci-002`.|
-| Price | [Available here](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) <br> For details on GPT-4 Turbo with Vision, see the [special pricing information](../openai/concepts/gpt-with-vision.md#special-pricing-information).|
+| Price | [Available here](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) <br> For details on vision-enabled chat models, see the [special pricing information](../openai/concepts/gpt-with-vision.md#special-pricing-information).|
 | Virtual network support & private link support | Yes.  |
 | Managed Identity| Yes, via Microsoft Entra ID | 
 | UI experience | [Azure portal](https://portal.azure.com) for account & resource management, <br> [Azure AI Foundry](https://ai.azure.com) for model exploration and fine-tuning |

articles/ai-services/openai/toc.yml

@@ -32,7 +32,7 @@ items:
     - name: Chat
       href: chatgpt-quickstart.md  
       displayName: ChatGPT, chatgpt
-    - name: GPT-4 Turbo with Vision
+    - name: Vision-enabled chats
       href: gpt-v-quickstart.md
     - name: DALL-E
       href: dall-e-quickstart.md
@@ -64,7 +64,7 @@ items:
       href: ./concepts/understand-embeddings.md
     - name: Fine-tuning
       href: ./concepts/fine-tuning-considerations.md
-    - name: GPT-4 Turbo with Vision
+    - name: Vision-enabled models
       href: ./concepts/gpt-with-vision.md
     - name: Red teaming large language models (LLMs)
       href: ./concepts/red-teaming.md
@@ -122,7 +122,7 @@ items:
     - name: GPT-35-Turbo & GPT-4 
       href: ./how-to/chatgpt.md
       displayName: ChatGPT, chatgpt
-    - name: GPT-4 Turbo with Vision
+    - name: Vision-enabled chats
       href: ./how-to/gpt-with-vision.md
     - name: DALL-E
       href: ./how-to/dall-e.md