This commit introduces a new Jupyter notebook, 'week6 EXERCISE.ipynb', which outlines the process for fine-tuning a model to classify banking customer queries. The notebook includes steps for data preparation, model training, and evaluation, utilizing the Banking77 dataset and OpenAI's API for fine-tuning. This addition enhances the project's capabilities in handling banking-related queries effectively.