AI Glossary

Transfer Learning

Transfer learning is an AI technique where knowledge learned from one task is reused to help solve another related task.

Overview

Transfer learning allows an AI model to build upon knowledge it has already learned instead of starting from scratch.

A model trained on a large amount of data can apply what it learned to new tasks, often requiring less training data and fewer resources.

Transfer learning makes AI development faster, cheaper, and more accessible.

Many modern AI systems rely on transfer learning to adapt existing models for specialized purposes.

A language model trained on general internet text can later be adapted to understand legal documents.