fix

Author: santiagxf

articles/ai-studio/how-to/develop/llama-index.md

@@ -28,10 +28,10 @@ In this example, we are working with the Azure AI model inference API.
 To run this tutorial you need:
 
 1. An [Azure subscription](https://azure.microsoft.com).
-2. An Azure AI hub resource as explained at [How to create and manage an Azure AI Studio hub](../how-to/create-azure-ai-resource.md).
+2. An Azure AI hub resource as explained at [How to create and manage an Azure AI Studio hub](../create-azure-ai-resource.md).
 3. A model supporting the [Azure AI model inference API](https://aka.ms/azureai/modelinference) deployed. In this example we use a `Mistral-Large` deployment, but use any model of your preference. For using embeddings capabilities in LlamaIndex, you need an embedding model like `cohere-embed-v3-multilingual`. 
 
-    * You can follow the instructions at [Deploy models as serverless APIs](../how-to/deploy-models-serverless.md).
+    * You can follow the instructions at [Deploy models as serverless APIs](../deploy-models-serverless.md).
 
 4. Python 3.8 or later installed, including pip.
 5. LlamaIndex installed. You can do it with: