h1

Author: lgayhardt

articles/ai-studio/how-to/develop/cloud-evaluation.md

@@ -13,13 +13,13 @@ ms.reviewer: changliu2
 ms.author: lagayhar
 author: lgayhardt
 ---
-# Cloud evaluation (preview): evaluate your Generative AI application remotely on the cloud
+# Evaluate your Generative AI application remotely on the cloud
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
-While Azure AI Evaluation SDK client supports running evaluations locally on your own machine, you might want to delegate the job remotely to the cloud. For example, after you ran local evaluations on small test data to help assess your generative AI application prototypes, now you move into pre-deployment testing and need run evaluations on a large dataset. Cloud evaluation frees you from managing your local compute infrastructure, and enables you to integrate evaluations as tests into your CI/CD pipelines. After deployment, you might want to [continuously evaluate](https://aka.ms/GenAIMonitoringDoc) your applications for post-deployment monitoring.
+While Azure AI Evaluation SDK client supports running evaluations locally on your own machine, you might want to delegate the job remotely to the cloud. For example, after you ran local evaluations on small test data to help assess your generative AI application prototypes, now you move into pre-deployment testing and need run evaluations on a large dataset. Cloud evaluation frees you from managing your local compute infrastructure, and enables you to integrate evaluations as tests into your CI/CD pipelines. After deployment, you might want to [continuously evaluate](../online-evaluation.md) your applications for post-deployment monitoring.
 
-In this article, you learn how to run cloud evaluation in pre-deployment testing on a test dataset. Using the Azure AI Projects SDK, you'll have evaluation results automatically logged into your Azure AI project for better observability. This feature supports all Microsoft curated [built-in evaluators](./evaluate-sdk.md#built-in-evaluators) and your own [custom evaluators](./evaluate-sdk.md#custom-evaluators) which can be located in the [Evaluator library](../evaluate-generative-ai-app.md#view-and-manage-the-evaluators-in-the-evaluator-library) and have the same project-scope RBAC.
+In this article, you learn how to run cloud evaluation (preview) in pre-deployment testing on a test dataset. Using the Azure AI Projects SDK, you'll have evaluation results automatically logged into your Azure AI project for better observability. This feature supports all Microsoft curated [built-in evaluators](./evaluate-sdk.md#built-in-evaluators) and your own [custom evaluators](./evaluate-sdk.md#custom-evaluators) which can be located in the [Evaluator library](../evaluate-generative-ai-app.md#view-and-manage-the-evaluators-in-the-evaluator-library) and have the same project-scope RBAC.
 
 ## Prerequisites