Fine-tuning

Fine-tuning is the process of taking a pre-trained AI model—one that has already learned from a large amount of general data—and further training it on a smaller, specific dataset. This allows the model to adapt and improve its performance for particular tasks or fields, such as medical diagnostics or legal analysis. Think of it like customizing a general tool to better suit a specialized job, making the AI more accurate and effective for focused applications without starting from scratch.