Summary:
- This article explains the process of fine-tuning an API, which is a way to customize a pre-trained machine learning model to perform a specific task.
- It describes the different steps involved in fine-tuning, such as preparing the data, training the model, and evaluating its performance.
- The article provides technical details and code examples to help readers understand how to implement fine-tuning in their own projects.