update RESOURCES.md

18-fine-tuning/RESOURCES.md

@@ -19,7 +19,7 @@ The lesson was built using a number of core resources from OpenAI and Azure Open
 | **Tutorial**: [Fine-tune a Llama 2 model in Azure AI Studio](https://learn.microsoft.com/azure/ai-studio/how-to/fine-tune-model-llama?WT.mc_id=academic-105485-koreyst)                                                      | Azure AI Studio lets you tailor large language models to your personal datasets _using a UI-based workflow suitable for low-code developers_. See this example.                                                                                                                                                               |
 | **Tutorial**:[Fine-tune Hugging Face models for a single GPU on Azure](https://learn.microsoft.com/azure/databricks/machine-learning/train-model/huggingface/fine-tune-model?WT.mc_id=academic-105485-koreyst)               | This article describes how to fine-tune a Hugging Face model with the Hugging Face transformers library on a single GPU with Azure DataBricks + Hugging Face Trainer libraries                                                                                                                                                |
 | **Training:** [Fine-tune a foundation model with Azure Machine Learning](https://learn.microsoft.com/training/modules/finetune-foundation-model-with-azure-machine-learning/?WT.mc_id=academic-105485-koreyst)         | The model catalog in Azure Machine Learning offers many open source models you can fine-tune for your specific task. Try this module is [from the AzureML Generative AI Learning Path](https://learn.microsoft.com/training/paths/work-with-generative-models-azure-machine-learning/?WT.mc_id=academic-105485-koreyst) |
-| **Tutorial:** [Azure OpenAI Fine-Tuning](https://docs.wandb.ai/guides/integrations/azure-openai-fine-tuning/?WT.mc_id=academic-105485-koreyst)                                                                                | Fine-tuning GPT-3.5 or GPT-4 models on Microsoft Azure using W&B allows for detailed tracking and analysis of model performance. This guide extends the concepts from the OpenAI Fine-Tuning guide with specific steps and features for Azure OpenAI.                                                                         |
+| **Tutorial:** [Azure OpenAI Fine-Tuning](https://docs.wandb.ai/guides/integrations/azure-openai-fine-tuning?WT.mc_id=academic-105485-koreyst)                                                                                | Fine-tuning GPT-3.5 or GPT-4 models on Microsoft Azure using W&B allows for detailed tracking and analysis of model performance. This guide extends the concepts from the OpenAI Fine-Tuning guide with specific steps and features for Azure OpenAI.                                                                         |
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 ## 2. Secondary Resources