Merge pull request #274227 from mrbullwinkle/mrb_05_03_2024_fine_tuning_update

[Azure OpenAI] Fine-tuning AI Studio updates

Author: Jill Grant

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
@@ -26,10 +26,15 @@ 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)]
+[!INCLUDE [Azure OpenAI 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
 
@@ -65,8 +70,8 @@ If your file upload fails, you can view the error message under “data files”
 
 - **Bad data:** A poorly curated or unrepresentative dataset will produce a low-quality model. Your model may learn inaccurate or biased patterns from your dataset. For example, if you are training a chatbot for customer service, but only provide training data for one scenario (e.g. item returns) it will not know how to respond to other scenarios. Or, if your training data is bad (contains incorrect responses), your model will learn to provide incorrect results.
 
-
 ## Next steps
 
 - Explore the fine-tuning capabilities in the [Azure OpenAI fine-tuning tutorial](../tutorials/fine-tune.md).
 - Review fine-tuning [model regional availability](../concepts/models.md#fine-tuning-models)
+- Learn more about [Azure OpenAI quotas](../quotas-limits.md)

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

@@ -45,6 +45,10 @@ items:
       href: how-to/concept-data-privacy.md
     - name: Model benchmarks
       href: how-to/model-benchmarks.md
+    - name: Azure OpenAI models
+      items:
+      - name: Fine-tune Azure OpenAI models
+        href: ../ai-services/openai/how-to/fine-tuning.md?context=/azure/ai-studio/context/context
     - name: Cohere models
       items:
       - name: Deploy Cohere Command models