Merge branch 'santiagxf/modeldocs' of https://github.com/santiagxf/azure-docs-pr into santiagxf/modeldocs

Author: santiagxf

articles/ai-studio/.openpublishing.redirection.ai-studio.json

@@ -17,7 +17,7 @@
         },
         {
             "source_path_from_root": "/articles/ai-studio/how-to/deploy-jais-models.md",
-            "redirect_url": "/azure/ai-studio/concepts/deploy-models-jais.md",
+            "redirect_url": "/azure/ai-studio/how-to/deploy-models-jais",
             "redirect_document_id": true
         },
         {

articles/ai-studio/how-to/fine-tune-model-llama.md

@@ -196,8 +196,8 @@ To fine-tune a LLama 3.1 model:
 
     > [!NOTE]
     > If you have your training/validation files in a credential less datastore, you will need to allow workspace managed identity access to their datastore in order to proceed with MaaS finetuning with a credential less storage. On the "Datastore" page, after clicking "Update authentication" > Select the following option: 
-	
-	![Use workspace managed identity for data preview and profiling in Azure Machine Learning Studio.](../media/how-to/fine-tune/llama/credentials.png)
+    
+    ![Use workspace managed identity for data preview and profiling in Azure Machine Learning Studio.](../media/how-to/fine-tune/llama/credentials.png)
 
     Make sure all your training examples follow the expected format for inference. To fine-tune models effectively, ensure a balanced and diverse dataset. This involves maintaining data balance, including various scenarios, and periodically refining training data to align with real-world expectations, ultimately leading to more accurate and balanced model responses.
     - The batch size to use for training. When set to -1, batch_size is calculated as 0.2% of examples in training set and the max is 256.
@@ -230,7 +230,7 @@ To fine-tune a Llama 2 model in an existing Azure AI Studio project, follow thes
 
     :::image type="content" source="../media/how-to/fine-tune/llama/llama-pay-as-you-go-overview.png" alt-text="Screenshot of pay-as-you-go marketplace overview." lightbox="../media/how-to/fine-tune/llama/llama-pay-as-you-go-overview.png":::
 
-1. Choose a base model to fine-tune and select **Confirm**. Your choice influences both the performance and [the cost of your model](./deploy-models-llama.md#cost-and-quotas).
+1. Choose a base model to fine-tune and select **Confirm**. Your choice influences both the performance and [the cost of your model](./deploy-models-llama.md#cost-and-quota-considerations-for-meta-llama-family-of-models-deployed-as-serverless-api-endpoints).
 
     :::image type="content" source="../media/how-to/fine-tune/llama/fine-tune-select-model.png" alt-text="Screenshot of option to select a model to fine-tune." lightbox="../media/how-to/fine-tune/llama/fine-tune-select-model.png":::