Merge pull request #4792 from msakande/rebrand-terminology-change-3

Rebrand terminology change 3 (non-FDP)

Author: v-dirichards

articles/ai-foundry/foundry-agent/ask-foundry-agent.md

@@ -23,7 +23,7 @@ The Foundry agent is an experimental feature that is here to assist you with que
 **What The Foundry Agent Can Do** - The agent is designed to provide assistance by answering questions based on:
 
 - **Azure AI Foundry Documentation**: This documentation includes details about Azure AI Foundry such as Quickstarts, How-Tos or reference documentation of the Azure AI Foundry SDK. The Foundry agent can help you navigate the documentation, or find answers for you.
-- **Model Catalog**: The model catalog is a comprehensive hub for discovering, evaluating, and deploying a wide range of AI models. It features hundreds of models from various providers, including Azure OpenAI Service, Mistral, Meta, Cohere, NVIDIA, and Hugging Face, as well as models trained by Microsoft. The Foundry agent can provide information about the models available in the Azure AI Foundry catalog.
+- **Model Catalog**: The model catalog is a comprehensive hub for discovering, evaluating, and deploying a wide range of AI models. It features hundreds of models from various providers, including Azure OpenAI in Foundry Models, Mistral, Meta, Cohere, NVIDIA, and Hugging Face, as well as models trained by Microsoft. The Foundry agent can provide information about the models available in the Azure AI Foundry catalog.
 
 **What The Foundry Agent Cannot Do** - While the agent is a powerful tool, it has some limitations:
 

articles/ai-foundry/model-inference/concepts/content-filter.md

@@ -11,7 +11,7 @@ ms.custom: ignite-2024, github-universe-2024
 manager: nitinme
 ---
 
-# Content filtering for model inference in Azure AI services
+# Content filtering for Azure AI Foundry Models in Azure AI Foundry Service
 
 > [!IMPORTANT]
 > The content filtering system isn't applied to prompts and completions processed by audio models such as Whisper in Azure OpenAI in Azure AI Foundry Models. Learn more about the [Audio models in Azure OpenAI](../../../ai-services/openai/concepts/models.md?tabs=standard-audio#standard-deployment-regional-models-by-endpoint).

articles/ai-foundry/model-inference/concepts/endpoints.md

@@ -1,7 +1,7 @@
 ---
-title: Model inference endpoint in Azure AI Foundry Models
+title: Endpoint for Azure AI Foundry Models
 titleSuffix: Azure AI Foundry
-description: Learn about the model inference endpoint in Azure AI Foundry Models
+description: Learn about the Azure AI Foundry Models endpoint
 author: santiagxf
 manager: nitinme
 ms.service: azure-ai-model-inference
@@ -11,7 +11,7 @@ ms.author: fasantia
 ms.custom: ignite-2024, github-universe-2024
 ---
 
-# Model inference endpoint in Azure AI Foundry Models
+# Endpoint for Azure AI Foundry Models
 
 Azure AI Foundry Models allows customers to consume the most powerful models from flagship model providers using a single endpoint and credentials. This means that you can switch between models and consume them from your application without changing a single line of code.
 
@@ -38,7 +38,7 @@ To learn more about how to create deployments see [Add and configure model deplo
 
 ## Foundry Models inference endpoint
 
-The Foundry Models inference endpoint allows customers to use a single endpoint with the same authentication and schema to generate inference for the deployed models in the resource. This endpoint follows the [Foundry Models API](.././reference/reference-model-inference-api.md) which all the models in Foundry Models support. It support the following modalities:
+The Foundry Models inference endpoint allows customers to use a single endpoint with the same authentication and schema to generate inference for the deployed models in the resource. This endpoint follows the [Foundry Models API](.././reference/reference-model-inference-api.md) which all the models in Foundry Models support. It supports the following modalities:
 
 * Text embeddings
 * Image embeddings

articles/ai-foundry/model-inference/how-to/github/create-model-deployments.md

@@ -1,7 +1,7 @@
 ---
-title: Add and configure models to Azure AI model inference
+title: Add and configure models to Azure AI Foundry Models
 titleSuffix: Azure AI Foundry for GitHub
-description: Learn how to add and configure new models to the Azure AI model inference endpoint in Azure AI Foundry for GitHub.
+description: Learn how to add and configure new models to the Foundry Models endpoint in Azure AI Foundry for GitHub.
 ms.service: azure-ai-model-inference
 ms.topic: how-to
 ms.date: 1/21/2025
@@ -16,13 +16,13 @@ recommendations: false
 
 You can decide and configure which models are available for inference in the Azure AI services resource model's inference endpoint. When a given model is configured, you can then generate predictions from it by indicating its model name or deployment name on your requests. No further changes are required in your code to use it.
 
-In this article, you learn how to add a new model to Azure AI model inference.
+In this article, you learn how to add a new model to Azure AI Foundry Models.
 
 ## Prerequisites
 
 To complete this article, you need:
 
-* An Azure subscription. If you're using [GitHub Models](https://docs.github.com/en/github-models/), you can upgrade your experience and create an Azure subscription in the process. Read [Upgrade from GitHub Models to Azure AI model inference](../quickstart-github-models.md) if it's your case.
+* An Azure subscription. If you're using [GitHub Models](https://docs.github.com/en/github-models/), you can upgrade your experience and create an Azure subscription in the process. Read [Upgrade from GitHub Models to Foundry Models](../quickstart-github-models.md) if it's your case.
 * An Azure AI services resource. For more information, see [Create an Azure AI Services resource](../../../../ai-services/multi-service-resource.md?context=/azure/ai-services/model-inference/context/context).
 
 ## Add a model
@@ -54,4 +54,4 @@ When creating model deployments, you can configure additional settings including
 
 ## Next steps
 
-* [Develop applications using Azure AI model inference service in Azure AI services](../../supported-languages.md)
+* [Develop applications using Foundry Models service in Azure AI services](../../supported-languages.md)

articles/ai-foundry/model-inference/how-to/manage-costs.md

@@ -1,6 +1,6 @@
 ---
-title: Plan to manage costs for model inference in Azure AI Services
-description: Learn how to plan for and manage costs for Azure AI model inference in Azure AI Services by using cost analysis in the Azure portal.
+title: Plan to manage costs for Azure AI Foundry Models in Azure AI Foundry Service
+description: Learn how to plan for and manage costs for Azure AI Foundry Models in Azure AI Foundry Service by using cost analysis in the Azure portal.
 author: santiagxf
 ms.author: fasantia 
 ms.custom: subject-cost-optimization
@@ -10,19 +10,19 @@ ms.date: 1/21/2025
 ---
 
 
-# Plan to manage costs for model inference in Azure AI Services
+# Plan to manage costs for Azure AI Foundry Models in Azure AI Foundry Service
 
-This article describes how you can view, plan for, and manage costs for model inference in Azure AI Services.
+This article describes how you can view, plan for, and manage costs for Foundry Models in Azure AI Foundry Service.
 
-Although this article is about planning for and managing costs for model inference in Azure AI Services, you're billed for all Azure services and resources used in your Azure subscription.
+Although this article is about planning for and managing costs for Foundry Models in Azure AI Foundry Service, you're billed for all Azure services and resources used in your Azure subscription.
 
 ## Prerequisites
 
 * Cost analysis in Cost Management supports most Azure account types, but not all of them. To view the full list of supported account types, see [Understand Cost Management data](/azure/cost-management-billing/costs/understand-cost-mgt-data?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn). 
 * To view cost data, you need at least read access for an Azure account. For information about assigning access to cost management data, see [Assign access to data](/azure/cost-management/assign-access-acm-data?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn).
 
 
-## Understand model inference billing model
+## Understand Foundry Models billing model
 
 Language models understand and process inputs by breaking them down into tokens. For reference, each token is roughly four characters for typical English text. Models that can process images or audio break down them into tokens too for billing purposes. The number of tokens per image or audio content depends on the model and the resolution of the input.
 

articles/ai-foundry/model-inference/includes/configure-content-filters/portal.md

@@ -10,7 +10,7 @@ zone_pivot_groups: azure-ai-models-deployment
 
 [!INCLUDE [Header](intro.md)]
 
-* An AI project connected to your Azure AI Services resource. You call follow the steps at [Configure Azure AI model inference service in my project](../../how-to/configure-project-connection.md) in Azure AI Foundry.
+* An AI project connected to your Azure AI Services resource. You call follow the steps at [Configure Azure AI Foundry Models service in my project](../../how-to/configure-project-connection.md) in Azure AI Foundry.
 
 ## Create a custom content filter
 

articles/ai-foundry/model-inference/includes/configure-entra-id/bicep.md

@@ -89,7 +89,7 @@ In your console, follow these steps:
       --template-file deploy-entra-id.bicep
     ```
 
-7. The template outputs the Azure AI model inference endpoint that you can use to consume any of the model deployments you have created.
+7. The template outputs the Azure AI Foundry Models endpoint that you can use to consume any of the model deployments you have created.
 
 
 ## Use Microsoft Entra ID in your code

articles/ai-foundry/model-inference/includes/configure-project-connection/intro.md

@@ -7,7 +7,7 @@ ms.date: 1/21/2025
 ms.topic: include
 ---
 
-You can use Azure AI Foundry Models in your projects in Azure AI Foundry to create reach applications and interact/manage the models available. To use the Azure AI model inference service in your project, you need to create a connection to the Azure AI Foundry resource (formerly known Azure AI Services).
+You can use Azure AI Foundry Models in your projects in Azure AI Foundry to create reach applications and interact/manage the models available. To use the Azure AI Foundry Models service in your project, you need to create a connection to the Azure AI Foundry resource (formerly known Azure AI Services).
 
 The following article explains how to create a connection to the Azure AI Foundry resource (formerly known Azure AI Services) to use Azure AI Foundry Models.
 

articles/ai-foundry/model-inference/includes/create-model-deployments/cli.md

@@ -108,7 +108,7 @@ __Inference endpoint__
 az cognitiveservices account show  -n $accountName -g $resourceGroupName | jq '.properties.endpoints["Azure AI Model Inference API"]'
 ```
 
-To make requests to the Azure AI model inference endpoint, append the route `models`, for example `https://<resource>.services.ai.azure.com/models`. You can see the API reference for the endpoint at [Azure AI model inference API reference page](https://aka.ms/azureai/modelinference).
+To make requests to the Azure AI Foundry Models endpoint, append the route `models`, for example `https://<resource>.services.ai.azure.com/models`. You can see the API reference for the endpoint at [Azure AI Foundry Models API reference page](https://aka.ms/azureai/modelinference).
 
 __Inference keys__
 

articles/ai-foundry/model-inference/includes/create-model-deployments/portal.md

@@ -10,13 +10,13 @@ zone_pivot_groups: azure-ai-models-deployment
 
 [!INCLUDE [Header](intro.md)]
 
-* An AI project connected to your Azure AI Foundry resource with the feature **Deploy models to Azure AI model inference service** on.
+* An AI project connected to your Azure AI Foundry resource with the feature **Deploy models to Azure AI Foundry Models service** on.
 
-  * You can follow the steps at [Configure Azure AI model inference service in my project](../../how-to/quickstart-ai-project.md#configure-the-project-to-use-foundry-models) in Azure AI Foundry.
+  * You can follow the steps at [Configure Foundry Models service in my project](../../how-to/quickstart-ai-project.md#configure-the-project-to-use-foundry-models) in Azure AI Foundry.
 
 ## Add a model
 
-You can add models to the Azure AI model inference endpoint using the following steps:
+You can add models to the Foundry Models endpoint using the following steps:
 
 1. Go to **Model catalog** section in [Azure AI Foundry portal](https://ai.azure.com/explore/models).