Fine-tuning is the process of adapting a pre-trained AI model to a specific task or dataset by training it further on new data. This allows the model to specialize and improve its performance in a particular area.
Analogy: Think of it like taking a general practitioner doctor and giving them specialized training to become a surgeon.
Why It Matters: Fine-tuning allows you to leverage the power of pre-trained models and customize them to suit your specific needs.