Update fine-tuning-overview.md

Author: ssalgadodev

articles/ai-foundry/concepts/fine-tuning-overview.md

@@ -90,17 +90,17 @@ This table provides an overview of the models available
 3. **Choose your technique:** Begin with Supervised Fine Tuning (SFT) unless you have specific requirements for reasoning models / RFT.
 4. **Iterate and evaluate:** Fine-tuning is an iterative process—start with a baseline, measure performance, and refine your approach based on results.
 
-To find steps to fine-tuning a model in AI Foundry, see [Fine-tune Models in AI Foundry](../how-to/fine-tune-serverless.md), [Fine-tune Azure OpenAI Models](../../ai-services/openai/how-to/fine-tuning.md), or [Fine-tune models using managed compute](how-to/fine-tune-managed-compute.md).
+To find steps to fine-tuning a model in AI Foundry, see [Fine-tune Models in AI Foundry](../how-to/fine-tune-serverless.md), [Fine-tune Azure OpenAI Models](../../ai-services/openai/how-to/fine-tuning.md), or [Fine-tune models using managed compute](../how-to/fine-tune-managed-compute.md).
 
 ## Fine Tuning Availability
 
 Now that you know when to use fine-tuning for your use case, you can go to Azure AI Foundry to find models available to fine-tune.
 
-**To fine-tune an AI Foundry model using Serverless** you must have a hub/project in the region where the model is available for fine tuning. See [Region availability for models in standard deployment](../how-to/deploy-models-serverless-availability.md) for detailed information on model and region availability, and [How to Create a Hub based project](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/create-projects?tabs=ai-foundry&pivots=hub-project) to create your project.
+**To fine-tune an AI Foundry model using Serverless** you must have a hub/project in the region where the model is available for fine tuning. See [Region availability for models in standard deployment](../how-to/deploy-models-serverless-availability.md) for detailed information on model and region availability, and [How to Create a Hub based project](../how-to/create-projects.md) to create your project.
 
-**To fine-tune an OpenAI model** you can use an Azure OpenAI Resource, a Foundry resource or default project, or a hub/project. GPT 4.1, 4.1-mini and 4.1-nano are available in all regions with Global Training. For regional availability, see [Regional Availability and Limits for Azure OpenAI Fine Tuning](../../ai-services/openai/concepts/models.md). See [Create a project for Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/create-projects?tabs=ai-foundry&pivots=fdp-project) for instructions on creating a new project.
+**To fine-tune an OpenAI model** you can use an Azure OpenAI Resource, a Foundry resource or default project, or a hub/project. GPT 4.1, 4.1-mini and 4.1-nano are available in all regions with Global Training. For regional availability, see [Regional Availability and Limits for Azure OpenAI Fine Tuning](../../ai-services/openai/concepts/models.md). See [Create a project for Azure AI Foundry](../how-to/create-projects.md) for instructions on creating a new project.
 
-**To fine-tune a model using Managed Compute** you must have a hub/project and available VM quota for training and inferencing. See [Fine-tune models using managed compute (preview)](../how-to/fine-tune-managed-compute.md) for more details on how to use managed compute fine tuning, and and [How to Create a Hub based project](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/create-projects?tabs=ai-foundry&pivots=hub-project) to create your project.
+**To fine-tune a model using Managed Compute** you must have a hub/project and available VM quota for training and inferencing. See [Fine-tune models using managed compute (preview)](../how-to/fine-tune-managed-compute.md) for more details on how to use managed compute fine tuning, and and [How to Create a Hub based project](../how-to/create-projects) to create your project.
 
 
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