update

Author: mrbullwinkle

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

@@ -5,7 +5,7 @@ description: Learn how to create your own customized model with Azure OpenAI Ser
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: include
-ms.date: 02/27/2025
+ms.date: 04/30/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---
@@ -29,6 +29,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0125)
 - `gpt-4o` (2024-08-06)
 - `gpt-4o-mini` (2024-07-18)
+- `gpt-4.1` (2024-04-14)
+- `gpt-4.1-mini`(2025-04-14)
 
 Or you can fine tune a previously fine-tuned model, formatted as `base-model.ft-{jobid}`.
 
@@ -235,7 +237,7 @@ print(response.model_dump_json(indent=2))
 
 Azure OpenAI attaches a result file named _results.csv_ to each fine-tune job after it completes. You can use the result file to analyze the training and validation performance of your customized model. The file ID for the result file is listed for each customized model, and you can use the Python SDK to retrieve the file ID and download the result file for analysis.
 
-The following Python example retrieves the file ID of the first result file attached to the fine-tuning job for your customized model, and then uses the Python SDK to download the file to your working directory for analysis.
+The following Python example retrieves the file ID of the first result file attached to the fine-tuning job for your customized model, and then uses the Python SDK to download the file to your current working directory for analysis.
 
 ```python
 # Retrieve the file ID of the first result file from the fine-tuning job

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

@@ -28,6 +28,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0125)
 - `gpt-4o` (2024-08-06)
 - `gpt-4o-mini` (2024-07-18)
+- `gpt-4.1` (2024-04-14)
+- `gpt-4.1-mini`(2025-04-14)
 
 Or you can fine tune a previously fine-tuned model, formatted as base-model.ft-{jobid}.