articles-about-evaluating-apps-with-azure-ai-evaluation-sdk

Author: LHL407

articles/ai-foundry/includes/fdp-backward-compatibility-azure-openai.md

@@ -11,16 +11,17 @@ ms.custom: include file
 ---
 
 > [!CAUTION]
-> Backward compatibility for Azure OpenAI users who onboarded to Foundry Developer Platform:
+> See the following information about backward compatibility for Azure OpenAI users who onboarded to the Azure AI Foundry developer platform:
 >
-> Users who previously used oai.azure.com to manage their model deployments and run evaluations and have since onboarded to Foundry Developer Platform (FDP) will have a few limitations when using ai.azure.com:
+> Users who previously managed their model deployments and ran evaluations by using `oai.azure.com` and have since onboarded to the Azure AI Foundry developer platform have a few limitations when using `ai.azure.com`:
 >
-> - First, users will be unable to view their evaluations that were created using the Azure OpenAI API. Instead, to view these, users have to navigate back to oai.azure.com.
-> - Second, users will be unable to use the Azure OpenAI API to run evaluations within AI Foundry. Instead, these users should continue to use oai.azure.com for this. However, users can use the Azure OpenAI evaluators that are available directly in AI Foundry (ai.azure.com) in the dataset evaluation creation option. The Fine-tuned  model evaluation option isn't supported if the deployment is a migration from Azure OpenAI to Azure Foundry.
-> - For the dataset upload + bring your own storage scenario, a few configurations requirements need to happen:
+> - Users are unable to view their evaluations that were created by using the Azure OpenAI API. To view these evaluations, users have to navigate back to `oai.azure.com`.
+> - Users are unable to use the Azure OpenAI API to run evaluations within Azure AI Foundry. Instead, these users should continue to use `oai.azure.com` for this task. However, users can use the Azure OpenAI evaluators that are available directly in Azure AI Foundry (`ai.azure.com`) in the dataset evaluation creation option. The fine-tuned model evaluation option isn't supported if the deployment is a migration from Azure OpenAI to Azure AI Foundry.
 >
->   - Account authentication needs to be Entra ID.
->   - The storage needs to be added to the account (if it’s added to the project, you'll get service errors).
->   - User needs to add their project to their storage account through access control in the Azure portal.
+> For the dataset upload and bring your own storage scenario, there are a few configuration requirements:
 >
-> To learn more about creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub, see [How to use Azure OpenAI in Azure AI Foundry Models evaluation](../../ai-services/openai/how-to/evaluations.md)
+> - Account authentication must be Microsoft Entra ID.
+> - The storage must be added to the account, because if it's added to the project, you get service errors.
+> - The user must add their project to their storage account through access control in the Azure portal.
+>
+> To learn more about creating evaluations with OpenAI evaluation graders in the Azure OpenAI hub, see [How to use Azure OpenAI in Azure AI Foundry models evaluation](../../ai-services/openai/how-to/evaluations.md).