minor update

Author: changliu2

articles/ai-studio/how-to/develop/evaluate-sdk.md

@@ -211,14 +211,14 @@ You can use our built-in AI-assisted and NLP quality evaluators to assess the pe
 
 #### Set up
 
-1. For AI-assisted quality evaluators except for `GroundednessProEvaluator`, you must specify a GPT model (`gpt-35-turbo`, `gpt-4`, `gpt-4-turbo`, `gpt-4o` or `gpt-4o-mini`) in your `model_config` to act as a judge to score the evaluation data. We support both Azure OpenAI or OpenAI model configuration schema. We recommend using GPT models that don't have the `(preview)` suffix for the best performance and parseable responses with our evaluators.
+1. For AI-assisted quality evaluators except for `GroundednessProEvaluator` (preview), you must specify a GPT model (`gpt-35-turbo`, `gpt-4`, `gpt-4-turbo`, `gpt-4o` or `gpt-4o-mini`) in your `model_config` to act as a judge to score the evaluation data. We support both Azure OpenAI or OpenAI model configuration schema. We recommend using GPT models that don't have the `(preview)` suffix for the best performance and parseable responses with our evaluators.
 
 > [!NOTE]
 > It is strongly recommended that `gpt-3.5-turbo` should be replaced by `gpt-4o-mini` for your evaluator model, as the latter is cheaper, more capable, and just as fast according to [OpenAI](https://platform.openai.com/docs/models/gpt-4#gpt-3-5-turbo). 
 
 > Make sure the you have at least `Cognitive Services OpenAI User` role for the Azure OpenAI resource to make inference calls with API key. For more permissions, learn more about [permissioning for Azure OpenAI resource](../../../ai-services/openai/how-to/role-based-access-control.md#summary).  
 
-2. For `GroundednessProEvaluator`, instead of a GPT deployment in `model_config`, you must provide your `azure_ai_project` information. This accesses the backend evaluation service of your Azure AI project.
+2. For `GroundednessProEvaluator` (preview), instead of a GPT deployment in `model_config`, you must provide your `azure_ai_project` information. This accesses the backend evaluation service of your Azure AI project.
 
 #### Performance and quality evaluator usage