Fine-tuning

Definition

The process of taking a pre-trained model and training it further on a specific dataset to improve performance on a particular task.

Detailed Explanation

Fine-tuning is a fundamental concept in Training that refers to the process of taking a pre-trained model and training it further on a specific dataset to improve performance on a particular task.

The significance of Fine-tuning cannot be overstated. As AI systems become more complex, mechanisms like this ensure scalability and accuracy.

Applications of Fine-tuning

Real-world applications include advanced natural language processing, computer vision systems, and automated decision-making frameworks.

Last updated: February 2026