fine-tuned

Sat, 18 Jul 2026 09:38:20 +0000

Definition

Fine-tuning involves taking a model that has already been trained on a large, general dataset and continuing its training on a smaller, task-specific dataset. This technique leverages the general features learned during pre-training while adjusting the model weights to better suit the nuances of the new domain. It is computationally cheaper than training from scratch and often yields superior performance when target data is scarce.

Summary

The process of further training a pre-trained model on a specific dataset to adapt it to a particular downstream task.

Model Adaptation on English AI Terms Dictionary

fine-tuned

Definition

Summary