Merge pull request #279097 from ssalgadodev/patch-119

Update deploy-models-llama.md

Author: PMEds28

articles/ai-studio/how-to/deploy-jais-models.md

@@ -25,18 +25,24 @@ You can find the JAIS model in the [Model Catalog](model-catalog.md) by filterin
 ### Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions will not work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [Azure AI Studio hub](../how-to/create-azure-ai-resource.md).
+- An [Azure AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for JAIS is only available with hubs created in these regions:
 
-    > [!IMPORTANT]
-    > For JAIS models, the serverless API model deployment offering is only available with hubs created in East US 2 or Sweden Central region.
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+     * Sweden Central
 
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 - An [AI Studio project](../how-to/create-projects.md) in Azure AI Studio.
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Studio](../concepts/rbac-ai-studio.md).
 
 
 ### JAIS 30b Chat
 
-JAIS 30b Chat is an auto-regressive bi-lingual LLM for **Arabic** & **English**. The tuned versions use supervised fine-tuning (SFT). The model is finetuned with both Arabic and English prompt-response pairs. The finetuning datasets included a wide range of instructional data across various domains. The model covers a wide range of common tasks including question answering, code generation, and reasoning over textual content. To enhance performance in Arabic, the Core42 team developed an in-house Arabic dataset as well as translating some open-source English instructions into Arabic.
+JAIS 30b Chat is an auto-regressive bi-lingual LLM for **Arabic** & **English**. The tuned versions use supervised fine-tuning (SFT). The model is fine-tuned with both Arabic and English prompt-response pairs. The fine-tuning datasets included a wide range of instructional data across various domains. The model covers a wide range of common tasks including question answering, code generation, and reasoning over textual content. To enhance performance in Arabic, the Core42 team developed an in-house Arabic dataset as well as translating some open-source English instructions into Arabic.
 
 *Context length:* JAIS supports a context length of 8K.
 
@@ -277,3 +283,4 @@ Models deployed as a service with pay-as-you-go billing are protected by [Azure
 
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/ai-studio/how-to/deploy-models-cohere-command.md

@@ -50,10 +50,17 @@ The previously mentioned Cohere models can be deployed as a service with pay-as-
 ### Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [Azure AI Studio hub](../how-to/create-azure-ai-resource.md).
-
-    > [!IMPORTANT]
-    > For Cohere family models, the serverless API model deployment offering is only available with hubs created in **EastUS2** or **Sweden Central** region.
+- An [Azure AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Cohere Command is only available with hubs created in these regions:
+
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+     * Sweden Central
+    
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 
 - An [AI Studio project](../how-to/create-projects.md) in Azure AI Studio.
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Studio](../concepts/rbac-ai-studio.md).
@@ -684,3 +691,4 @@ Models deployed as a serverless API with pay-as-you-go billing are protected by
 
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/ai-studio/how-to/deploy-models-cohere-embed.md

@@ -50,10 +50,17 @@ The previously mentioned Cohere models can be deployed as a service with pay-as-
 ### Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [AI Studio hub](../how-to/create-azure-ai-resource.md).
-
-    > [!IMPORTANT]
-    > For Cohere family models, the serverless API model deployment offering is only available with hubs created in **EastUS2** or **Sweden Central** region.
+- An [AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Cohere Embed is only available with hubs created in these regions:
+
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+     * Sweden Central
+    
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 
 - An [AI Studio project](../how-to/create-projects.md) in Azure AI Studio.
 - Azure role-based access controls are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Studio](../concepts/rbac-ai-studio.md).
@@ -298,3 +305,4 @@ Models deployed as a serverless API are protected by [Azure AI Content Safety](.
 
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/ai-studio/how-to/deploy-models-jamba.md

@@ -35,7 +35,17 @@ To get started with Jamba Instruct deployed as a serverless API, explore our int
 ### Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Jamba Instruct is only available with hubs created in **East US 2** and **Sweden Central**.
+- An [AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Jamba Instruct is only available with hubs created in these regions:
+
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+     * Sweden Central
+       
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 - An Azure [AI Studio project](../how-to/create-projects.md).
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __owner__ or __contributor__ role for the Azure subscription. Alternatively, your account can be assigned a custom role that has the following permissions:
 
@@ -303,3 +313,4 @@ Models deployed as a serverless API are protected by Azure AI content safety. Wi
 
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/ai-studio/how-to/deploy-models-llama.md

@@ -59,11 +59,17 @@ If you need to deploy a different model, [deploy it to managed compute](#deploy-
 # [Meta Llama 3](#tab/llama-three)
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [AI Studio hub](../how-to/create-azure-ai-resource.md).
-
-    > [!IMPORTANT]
-    > For Meta Llama 3 models, the pay-as-you-go model deployment offering is only available with hubs created in **East US 2** and **Sweden Central** regions.
-
+- An [AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Meta Llama 3 is only available with hubs created in these regions:
+
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+     * Sweden Central
+  
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 - An [AI Studio project](../how-to/create-projects.md) in Azure AI Studio.
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __owner__ or __contributor__ role for the Azure subscription. Alternatively, your account can be assigned a custom role that has the following permissions:
 
@@ -87,11 +93,16 @@ If you need to deploy a different model, [deploy it to managed compute](#deploy-
 # [Meta Llama 2](#tab/llama-two)
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [AI Studio hub](../how-to/create-azure-ai-resource.md).
-
-    > [!IMPORTANT]
-    > For Meta Llama 2 models, the pay-as-you-go model deployment offering is only available with hubs created in **East US 2** and **West US 3** regions.
-
+- An [AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Meta Llama 2 is only available with hubs created in these regions:
+
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+  
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 - An [AI Studio project](../how-to/create-projects.md) in Azure AI Studio.
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __owner__ or __contributor__ role for the Azure subscription. Alternatively, your account can be assigned a custom role that has the following permissions:
 
@@ -562,3 +573,4 @@ Models deployed as a serverless API with pay-as-you-go are protected by Azure AI
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Fine-tune a Meta Llama 2 model in Azure AI Studio](fine-tune-model-llama.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/ai-studio/how-to/deploy-models-phi-3.md

@@ -49,11 +49,12 @@ Certain models in the model catalog can be deployed as a serverless API with pay
 ### Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An [Azure AI Studio hub](../how-to/create-azure-ai-resource.md).
+- An [Azure AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for Phi-3 is only available with hubs created in these regions:
 
-    > [!IMPORTANT]
-    > For Phi-3 family models, the serverless API model deployment offering is only available with hubs created in **East US 2** and **Sweden Central** regions.
+    * East US 2
+    * Sweden Central
 
+     For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md).
 - An [Azure AI Studio project](../how-to/create-projects.md).
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Studio](../concepts/rbac-ai-studio.md).
 
@@ -118,5 +119,7 @@ Quota is managed per deployment. Each deployment has a rate limit of 200,000 tok
 
 ## Related content
 
+
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/ai-studio/how-to/deploy-models-timegen-1.md

@@ -250,3 +250,4 @@ Quota is managed per deployment. Each deployment has a rate limit of 200,000 tok
 
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Azure AI FAQ article](../faq.yml)
+- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

articles/machine-learning/deploy-jais-models.md

@@ -1,7 +1,7 @@
 ---
-title: How to deploy JAIS models with Azure Machine Learning Studio
-titleSuffix: Azure Machine Learning Studio
-description: Learn how to deploy JAIS models with Azure Machine Learning Studio.
+title: How to deploy JAIS models with Azure Machine Learning studio
+titleSuffix: Azure Machine Learning studio
+description: Learn how to deploy JAIS models with Azure Machine Learning studio.
 manager: scottpolly
 ms.service: machine-learning
 ms.topic: how-to
@@ -12,28 +12,35 @@ author: msakande
 ms.custom: references_regions, build-2024
 ---
 
-# How to deploy JAIS with Azure Machine Learning Studio
+# How to deploy JAIS with Azure Machine Learning studio
 
-In this article, you learn how to use Azure Machine Learning Studio to deploy the JAIS model as a service with pay-as you go billing.
+In this article, you learn how to use Azure Machine Learning studio to deploy the JAIS model as a service with pay-as you go billing.
 
-The JAIS model is available in Azure Machine Learning Studio with pay-as-you-go token based billing with Models as a Service. 
+The JAIS model is available in Azure Machine Learning studio with pay-as-you-go token based billing with Models as a Service. 
 
 You can find the JAIS model in the model catalog by filtering on the JAIS collection.
 
 ### Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
-- An Azure Machine Learning workspace. If you don't have these, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create them.
+- An Azure Machine Learning workspace. If you don't have these, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create them. The serverless API model deployment offering for JAIS is only available with workspaces created in these regions:
 
-    > [!IMPORTANT]
-    > For JAIS models, the pay-as-you-go model deployment offering is only available with workspaces created in East US 2 or Sweden Central region.
+     * East US
+     * East US 2
+     * North Central US
+     * South Central US
+     * West US
+     * West US 3
+     * Sweden Central
+
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](concept-endpoint-serverless-availability.md).
 
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Studio](../ai-studio/concepts/rbac-ai-studio.md).
 
 
 ### JAIS 30b Chat
 
-JAIS 30b Chat is an auto-regressive bi-lingual LLM for **Arabic** & **English**. The tuned versions use supervised fine-tuning (SFT). The model is finetuned with both Arabic and English prompt-response pairs. The finetuning datasets included a wide range of instructional data across various domains. The model covers a wide range of common tasks including question answering, code generation, and reasoning over textual content. To enhance performance in Arabic, the Core42 team developed an in-house Arabic dataset as well as translating some open-source English instructions into Arabic.
+JAIS 30b Chat is an auto-regressive bi-lingual LLM for **Arabic** & **English**. The tuned versions use supervised fine-tuning (SFT). The model is fine-tuned with both Arabic and English prompt-response pairs. The fine-tuning datasets included a wide range of instructional data across various domains. The model covers a wide range of common tasks including question answering, code generation, and reasoning over textual content. To enhance performance in Arabic, the Core42 team developed an in-house Arabic dataset as well as translating some open-source English instructions into Arabic.
 
 *Context length:* JAIS 30b Chat supports a context length of 8K.
 
@@ -278,3 +285,4 @@ Models deployed as a service with pay-as-you-go are protected by [Azure AI Conte
 
 - [What is Azure AI Studio?](../ai-studio/what-is-ai-studio.md)
 - [Azure AI FAQ article](../ai-studio/faq.yml)
+- [Region availability for models in serverless API endpoints](concept-endpoint-serverless-availability.md)