PM update

Author: mrbullwinkle

articles/ai-services/openai/how-to/fine-tuning.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python
 ms.topic: how-to
-ms.date: 08/22/2024
+ms.date: 09/05/2024
 author: mrbullwinkle
 ms.author: mbullwin
 zone_pivot_groups: openai-fine-tuning-new

articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

@@ -254,7 +254,7 @@ When each training epoch completes a checkpoint is generated. A checkpoint is a
 
 :::image type="content" source="../media/fine-tuning/checkpoints.png" alt-text="Screenshot of checkpoints UI." lightbox="../media/fine-tuning/checkpoints.png":::
 
-## Safety evaluation GPT-4, 4o, 4o-mini fine-tuning - public preview
+## Safety evaluation GPT-4, GPT-4o, GPT-4o-mini fine-tuning - public preview
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
 

articles/ai-services/openai/includes/fine-tuning-python.md

@@ -374,7 +374,7 @@ This command isn't available in the 0.28.1 OpenAI Python library. Upgrade to the
 
 ---
 
-## Safety evaluation GPT-4, 4o, 4o-mini fine-tuning - public preview
+## Safety evaluation GPT-4, GPT-4o, GPT-4o-mini fine-tuning - public preview
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
 

articles/ai-services/openai/includes/fine-tuning-rest.md

@@ -254,7 +254,7 @@ curl -X POST $AZURE_OPENAI_ENDPOINT/openai/fine_tuning/jobs/{fine_tuning_job_id}
   -H "api-key: $AZURE_OPENAI_API_KEY" 
 ```
 
-## Safety evaluation GPT-4, 4o, 4o-mini fine-tuning - public preview
+## Safety evaluation GPT-4, GPT-4o, GPT-4o-mini fine-tuning - public preview
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
 

articles/ai-services/openai/includes/fine-tuning-studio.md

@@ -325,7 +325,7 @@ Here are some of the tasks you can do on the **Models** pane:
 When each training epoch completes a checkpoint is generated. A checkpoint is a fully functional version of a model which can both be deployed and used as the target model for subsequent fine-tuning jobs. Checkpoints can be particularly useful, as they can provide a snapshot of your model prior to overfitting having occurred. When a fine-tuning job completes you will have the three most recent versions of the model available to deploy. 
 
 
-## Safety evaluation GPT-4, 4o, and 4o-mini fine-tuning - public preview
+## Safety evaluation GPT-4, GPT-4o, and GPT-4o-mini fine-tuning - public preview
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]