Merge branch 'ad-ae-name-change' of github.com:ssalgadodev/azure-ai-docs-pr into ad-ae-name-change

Author: msakande

articles/ai-foundry/concepts/foundry-models-overview.md

@@ -51,7 +51,7 @@ These Models also have the benefit of fungible Provisioned Throughput, meaning y
 
 ## Models from Partners and Community
 
- These models constitute the vast majority of the Azure AI Foundry Models. These models are provided by trusted third-party organizations, partners, research labs, and community contributors. These models offer specialized and diverse AI capabilities, covering a wide array of scenarios, industries, and innovations.
+These models constitute the vast majority of the Azure AI Foundry Models. These models are provided by trusted third-party organizations, partners, research labs, and community contributors. These models offer specialized and diverse AI capabilities, covering a wide array of scenarios, industries, and innovations.
 
 Characteristics of Models from Partners and Community: 
 * Developed and supported by external partners and community contributors 
@@ -64,7 +64,6 @@ Models are deployable as Managed Compute or Standard (pay-go) deployment options
 
 ## Choosing Between direct models and partner & community models 
 
-
 When selecting models from Azure AI Foundry Models, consider the following: 
 * **Use Case and Requirements**: Models sold directly by Azure are ideal for scenarios requiring deep Azure integration, guaranteed support, and enterprise SLAs. Models from Partners and Community excel in specialized use cases and innovation-led scenarios. 
 * **Support Expectations**: Models sold directly by Azure come with robust Microsoft-provided support and maintenance. These models are supported by their providers, with varying levels of SLA and support structures. 

articles/ai-foundry/how-to/configure-managed-network.md

@@ -29,7 +29,7 @@ You need to configure following network isolation configurations.
 - Choose network isolation mode. You have two options: allow internet outbound mode or allow only approved outbound mode.
 - If you use Visual Studio Code integration with allow only approved outbound mode, create FQDN outbound rules described in the [use Visual Studio Code](#scenario-use-visual-studio-code) section.
 - If you use HuggingFace models in Models with allow only approved outbound mode, create FQDN outbound rules described in the [use HuggingFace models](#scenario-use-huggingface-models) section.
-- If you use one of the open-source models with allow only approved outbound mode, create FQDN outbound rules described in the [Models Sold Directly by Azure ](#scenario-azure-direct-models) section.
+- If you use one of the open-source models with allow only approved outbound mode, create FQDN outbound rules described in the [Models Sold Directly by Azure](#scenario-models-sold-directly-by-azure) section.
 
 ## Network isolation architecture and isolation modes
 

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

@@ -17,7 +17,7 @@ ms.custom: references_regions, tool_generated
 
 Azure AI Foundry Models gives you access to flagship models in Azure AI Foundry to consume them as APIs without hosting them on your infrastructure.
 
-A selection of models is offered directly by Microsoft under [Models Sold Directly by Azure](#azure-direct-models) which brings the most powerful options to developers to build AI applications. We also enable the breath of models by partnering with key players in the industry and bringing [Models from Partners and Community](#models-from-partners-and-community).
+A selection of models is offered directly by Microsoft under [Models Sold Directly by Azure](#models-sold-directly-by-azure) which brings the most powerful options to developers to build AI applications. We also enable the breath of models by partnering with key players in the industry and bringing [Models from Partners and Community](#models-from-partners-and-community).
 
 
 :::image type="content" source="../media/models/models-catalog.gif" alt-text="An animation showing Azure AI Foundry portal model catalog section and the models available." lightbox="../media/models/models-catalog.gif":::

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

@@ -46,7 +46,7 @@ To understand the breakdown of what makes up the cost, it can be helpful to use
 5. By default, cost analysis is scoped to the selected resource group.
 
     > [!IMPORTANT]
-    > It's important to scope *Cost Analysis* to the resource group where the Azure AI Foundry resource is deployed. Cost meters associated with [Models from Partners and Community](#models-from-paterners-and-community) are displayed under the resource group instead of the Azure AI Foundry resource.
+    > It's important to scope *Cost Analysis* to the resource group where the Azure AI Foundry resource is deployed. Cost meters associated with [Models from Partners and Community](#models-from-partners-and-community) are displayed under the resource group instead of the Azure AI Foundry resource.
 
 6. Modify **Group by** to **Meter**. You can now see that for this particular resource group, the source of the costs comes from different models series.  
 
@@ -56,7 +56,7 @@ The following sections explain the entries in details.
 
 ### Models Sold Directly by Azure 
 
-[Models Sold Directly by Azure](../concepts/models.md#azure-direct-models) (including Azure OpenAI) are charged directly and they show up as billing meters under each Azure AI Foundry resource (formerly known Azure AI Services). This billing happens directly through Microsoft. When you inspect your bill, you notice billing meters accounting for inputs and outputs for each consumed model.
+[Models Sold Directly by Azure](../concepts/models.md#models-sold-directly-by-azure) (including Azure OpenAI) are charged directly and they show up as billing meters under each Azure AI Foundry resource (formerly known Azure AI Services). This billing happens directly through Microsoft. When you inspect your bill, you notice billing meters accounting for inputs and outputs for each consumed model.
 
 :::image type="content" source="../media/manage-cost/cost-by-meter-1p.png" alt-text="Screenshot of cost analysis dashboard scoped to the resource group where the Azure AI Foundry resource is deployed, highlighting the meters for Azure OpenAI and Phi models. Cost is group by meter." lightbox="../media/manage-cost/cost-by-meter-1p.png":::
 
@@ -67,7 +67,7 @@ Models provided by third-party providers, like Cohere, are billed using Azure Ma
 :::image type="content" source="../media/manage-cost/cost-by-meter-saas.png" alt-text="Screenshot of cost analysis dashboard scoped to the resource group where the Azure AI Foundry resource is deployed, highlighting the meters for models billed throughout Azure Marketplace. Cost is group by meter." lightbox="../media/manage-cost/cost-by-meter-saas.png":::
 
 > [!IMPORTANT]
-> This distinction between [Models Sold Directly by Azure ](../concepts/models.md#azure-direct-models) (including Azure OpenAI) and [Models from Partners and Community](../concepts/models.md#models-from-paterners-and-community) only affects how the model is made available to you and how you are charged. In all cases, models are hosted within Azure cloud and there is no interaction with external services or providers.
+> This distinction between [Models Sold Directly by Azure ](../concepts/models.md#models-sold-directly-by-azure) (including Azure OpenAI) and [Models from Partners and Community](../concepts/models.md#models-from-partners-and-community) only affects how the model is made available to you and how you are charged. In all cases, models are hosted within Azure cloud and there is no interaction with external services or providers.
 
 ### Using Azure Prepayment
 

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

@@ -19,4 +19,4 @@ To complete this article, you need:
 
 * An Azure AI Foundry resource (formerly known as Azure AI Services). For more information, see [Create and configure all the resources for Azure AI Foundry Models](../../how-to/quickstart-create-resources.md).
 
-* [Models from Partners and Community](../../concepts/models.md#models-from-partners-and-community) require access to **Azure Marketplace**. Ensure you have the [permissions required to subscribe to model offerings](../../how-to/configure-marketplace.md). [Models Sold Directly by Azure](../../concepts/models.md#azure-direct-models) don't have this requirement.
+* [Models from Partners and Community](../../concepts/models.md#models-from-partners-and-community) require access to **Azure Marketplace**. Ensure you have the [permissions required to subscribe to model offerings](../../how-to/configure-marketplace.md). [Models Sold Directly by Azure](../../concepts/models.md#models-sold-directly-by-azure) don't have this requirement.

articles/machine-learning/foundry-models-overview.md

@@ -31,28 +31,28 @@ Azure AI Foundry offers a comprehensive catalog of AI models. There are over 190
 
 Our catalog is organized into two main categories: 
 
-* [Models Sold Directly by Azure](#azure-direct-models)
+* [Models Sold Directly by Azure](#models-sold-directly-by-azure)
 * [Models from Partners and Community](#models-from-partners-and-community)
 
 Understanding the distinction between these categories helps you choose the right models based on your specific requirements and strategic goals. 
 
-## Azure Direct Models  
+## Models Sold Directly by Azure  
 
-Azure Direct Models are models that are hosted and sold by Microsoft under Microsoft Product Terms. These models have undergone rigorous evaluation and are deeply integrated into Azure’s AI ecosystem. They offer enhanced integration, optimized performance, and direct Microsoft support, including enterprise-grade Service Level Agreements (SLAs). 
+These are models that are hosted and sold by Microsoft under Microsoft Product Terms. These models have undergone rigorous evaluation and are deeply integrated into Azure’s AI ecosystem. The models come from a variety of top providers and they offer enhanced integration, optimized performance, and direct Microsoft support, including enterprise-grade Service Level Agreements (SLAs).
 
-Characteristics of Azure Direct Models: 
+Characteristics of these direct models: 
 
 - Official first-party support from Microsoft 
 - High level of integration with Azure services and infrastructure 
 - Extensive performance benchmarking and validation 
 - Adherence to Microsoft’s Responsible AI standards 
 - Enterprise-grade scalability, reliability, and security
 
-Azure Direct Models also have the benefit of flexible Provisioned Throughput, meaning you can use your quota and reservations across any of these models.
+These Models also have the benefit of fungible Provisioned Throughput, meaning you can flexibly use your quota and reservations across any of these models.
 
 ## Models from Partners and Community
 
-Models constitute the vast majority of the Azure AI Foundry Models. These models are provided by trusted third-party organizations, partners, research labs, and community contributors. These models offer specialized and diverse AI capabilities, covering a wide array of scenarios, industries, and innovations.
+These models constitute the vast majority of the Azure AI Foundry Models. These models are provided by trusted third-party organizations, partners, research labs, and community contributors. These models offer specialized and diverse AI capabilities, covering a wide array of scenarios, industries, and innovations.
 
 Characteristics of Models from Partners and Community: 
 * Developed and supported by external partners and community contributors 
@@ -63,33 +63,17 @@ Characteristics of Models from Partners and Community:
 
 Models are deployable as Managed Compute or Standard (pay-go) deployment options. The model provider selects how the models are deployable.   
 
-## Choosing Between Azure Direct and Azure Ecosystem Partner & Community Models 
-
+## Choosing Between direct models and partner & community models 
 
 When selecting models from Azure AI Foundry Models, consider the following: 
-* Use Case and Requirements: Azure Direct Models are ideal for scenarios requiring deep Azure integration, guaranteed support, and enterprise SLAs. Models from Partners and Community excel in specialized use cases and innovation-led scenarios. 
-* Support Expectations: Azure Direct Models come with robust Microsoft-provided support and maintenance. Models from Partners and Community are supported by their providers, with varying levels of SLA and support structures. 
+* Use Case and Requirements: Models sold directly by Azure are ideal for scenarios requiring deep Azure integration, guaranteed support, and enterprise SLAs. Azure Ecosystem Models excel in specialized use cases and innovation-led scenarios.
+* Support Expectations: Models sold directly by Azure come with robust Microsoft-provided support and maintenance. These models are supported by their providers, with varying levels of SLA and support structures.
 * Innovation and Specialization: Models from Partners and Community offer rapid access to specialized innovations and niche capabilities often developed by leading research labs and emerging AI providers.
 
-## Accessing Models from Partners and Community
-
-Models from Partners and Community are accessible through Azure AI Foundry, providing: 
-* Comprehensive details about the model’s capabilities and integration requirements.
-* Community ratings, usage data, and qualitative feedback to guide your decisions.
-* Clear integration guidelines to help incorporate these models seamlessly into your Azure workflows.
-
-For more detailed guidance and exploration of available models, visit the [Azure AI Foundry documentation](/azure/ai-foundry/). 
- 
-Azure AI Foundry remains committed to providing a robust ecosystem, enabling customers to easily access the best AI innovations from Microsoft and our trusted partners. 
-
 ## Model collections
 
 The model catalog organizes models into different collections:
 
-* **Curated by Azure AI**: The most popular partner models (open-weight and proprietary) packaged and optimized to work seamlessly on the Azure AI platform. Use of these models is subject to the model providers' license terms. When you deploy these models in Azure AI Foundry portal, their availability is subject to the applicable [Azure service-level agreement (SLA)](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services), and Microsoft provides support for deployment problems.
-
-  Models from partners such as Meta, NVIDIA, and Mistral AI are examples of models available in this collection on the catalog. You can identify these models by looking for a green checkmark on the model tiles in the catalog. Or you can filter by the **Curated by Azure AI** collection.
-
 * **Azure OpenAI models exclusively available on Azure**: Flagship Azure OpenAI models available through an integration with Azure OpenAI Service. Microsoft supports these models and their use according to the product terms and [SLA for Azure OpenAI Service](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services).
 
 * **Open models from the Hugging Face hub**: Hundreds of models from the Hugging Face hub for real-time inference with managed compute. Hugging Face creates and maintains models listed in this collection. For help, use the [Hugging Face forum](https://discuss.huggingface.co) or [Hugging Face support](https://huggingface.co/support). Learn more in [Deploy open models with Azure AI Foundry](../ai-foundry/how-to/deploy-models-managed.md).

articles/machine-learning/how-to-network-isolation-model-catalog.md

@@ -45,7 +45,7 @@ Since the workspace managed virtual network can access internet in this configur
 1. Configure a workspace by following [Workspace managed network isolation](./how-to-managed-network.md#configure-a-managed-virtual-network-to-allow-only-approved-outbound). In step 3 of the tutorial when selecting **Workspace managed outbound access**, select **Allow Only Approved Outbound**.  
 2. If you set the public network access to the workspace to disabled, you can connect to the workspace using one of the methods as listed [in step 2 of the allow internet outbound section of this tutorial](#workspace-managed-virtual-network-to-allow-internet-outbound).
 3. The workspace manages virtual network is set to an allow only configuration. You must add a corresponding user-defined outbound rule to allow all the relevant FQDNs.
-    1. Follow this link for a list of FQDNs required for the [Models Sold Directly by Azure collection](#language-models-in-azure-direct-models-collection).
+    1. Follow this link for a list of FQDNs required for the [Models Sold Directly by Azure collection](#language-models-in-models-sold-directly-by-azure-collection).
     2. Follow this link for a list of FQDNs required for the [Hugging Face collection](#work-with-hugging-face-collection). 
 
 ## Work with open source models curated by Azure Machine Learning