Fine-tuning allows an existing AI model to be adapted for a particular use case or style by training it with carefully prepared examples. In this guide, you’ll learn the basic concept of fine-tuning, how to prepare training data, when fine-tuning may be useful, and the general steps involved in improving a model for a specific task. You’ll also learn why data quality and consistency are important when working with customized AI models.