update finetuning url in RESOURCES.md

Author: iamarunbrahma

18-fine-tuning/RESOURCES.md

@@ -14,7 +14,7 @@ The lesson was built using a number of core resources from OpenAI and Azure Open
 | [Fine-tuning and function calling](https://learn.microsoft.com/azure/ai-services/openai/how-to/fine-tuning-functions?WT.mc_id=academic-105485-koreyst) | Fine-tuning your model **with function calling examples** can improve model output by getting more accurate and consistent outputs - with similarly-formatted responses & cost-savings |
 | [Fine-tuning Models: Azure OpenAI Guidance](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#fine-tuning-models?WT.mc_id=academic-105485-koreyst) | Look up this table to understand **what models can be fine-tuned** in Azure OpenAI, and which regions these are available in. Look up their token limits and training data expiry dates if needed. |
 | [To Fine Tune or Not To Fine Tune? That is the Question](https://learn.microsoft.com/shows/ai-show/to-fine-tune-or-not-fine-tune-that-is-the-question?WT.mc_id=academic-105485-koreyst) | This 30-min **Oct 2023** episode of the AI Show discusses benefits, drawbacks and practical insights that help you make this decision. |
-| [Getting Started With LLM Fine-Tuning](https://learn.microsoft.com/ai/playbook/technology-guidance/generative-ai/working-with-llms/fine-tuning?WT.mc_id=academic-105485-koreyst) | This **AI Playbook** resource walks you through data requirements, formatting, hyperparameter fine-tuning and challenges/limitations you should know. |
+| [Getting Started With LLM Fine-Tuning](https://learn.microsoft.com/en-us/ai/playbook/technology-guidance/generative-ai/working-with-llms/fine-tuning-recommend?WT.mc_id=academic-105485-koreyst) | This **AI Playbook** resource walks you through data requirements, formatting, hyperparameter fine-tuning and challenges/limitations you should know. |
 | **Tutorial**: [Azure OpenAI GPT3.5 Turbo Fine-Tuning](https://learn.microsoft.com/azure/ai-services/openai/tutorials/fine-tune?tabs=python%2Ccommand-line?WT.mc_id=academic-105485-koreyst) | Learn to create a sample fine-tuning dataset, prepare for fine-tuning, create a fine-tuning job, and deploy the fine-tuned model on Azure. |
 | **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 |