update

Author: mrbullwinkle

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

@@ -7,10 +7,10 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python
 ms.topic: how-to
-ms.date: 02/22/2024
+ms.date: 05/03/2024
 author: mrbullwinkle
 ms.author: mbullwin
-zone_pivot_groups: openai-fine-tuning
+zone_pivot_groups: openai-fine-tuning-new
 ---
 
 # Customize a model with fine-tuning
@@ -26,13 +26,18 @@ In contrast to few-shot learning, fine tuning improves the model by training on
 
 We use LoRA, or low rank approximation, to fine-tune models in a way that reduces their complexity without significantly affecting their performance. This method works by approximating the original high-rank matrix with a lower rank one, thus only fine-tuning a smaller subset of "important" parameters during the supervised training phase, making the model more manageable and efficient. For users, this makes training faster and more affordable than other techniques.
 
-
 ::: zone pivot="programming-language-studio"
 
 [!INCLUDE [Studio fine-tuning](../includes/fine-tuning-studio.md)]
 
 ::: zone-end
 
+::: zone pivot="programming-language-ai-studio"
+
+[!INCLUDE [AI Studio fine-tuning](../includes/fine-tuning-openai-in-ai-studio.md)]
+
+::: zone-end
+
 ::: zone pivot="programming-language-python"
 
 [!INCLUDE [Python SDK fine-tuning](../includes/fine-tuning-python.md)]

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

@@ -1995,6 +1995,20 @@ groups:
   - id: rest-api
     title: REST
 # Owner: mbullwin
+- id: openai-fine-tuning-new
+  title: Programming languages
+  prompt: Choose your preferred fine-tuning method
+  pivots:
+  - id: programming-language-studio
+    title: Studio
+  - id: programming-language-ai-studio
+    title: AI Studio (Preview)
+  - id: programming-language-python
+    title: Python
+  - id: rest-api
+    title: REST
+
+# Owner: mbullwin
 - id: openai-embeddings
   title: Programming languages
   prompt: Choose your preferred usage method