Add note about finetuning on squad with newer models

Author: robtinn

examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb

@@ -11,6 +11,8 @@
     "\n",
     "We will also be integrating Qdrant and Few-Shot Learning to boost the model's performance and reduce hallucinations. This could serve as a practical guide for ML practitioners, data scientists, and AI Engineers interested in leveraging the power of OpenAI models for specific use-cases. 🤩\n",
     "\n",
+    "Note: This notebook uses the gpt-3.5-turbo model. Fine-tuning on the SQuAD dataset with this setup yields only minimal gains for more advanced models such as gpt-4o or gpt-4.1. As such, this notebook is primarily intended as a guide for fine-tuning workflows and retrieval-augmented generation (RAG) practices\n",
+    "\n",
     "## Why should you read this blog?\n",
     "\n",
     "You want to learn how to \n",