← Back to AI Glossary
AI Glossary
Fine-Tuning
Fine-tuning is the process of further training an existing AI model on specialized data to improve performance for a specific task.
Overview
Fine-tuning helps customize a foundation model for a particular industry, organization, or use case.
Rather than building a new model, developers refine an existing one.
Why It Matters
Fine-tuning enables organizations to create more accurate and relevant AI systems while reducing costs.
Real-World Example
A healthcare provider fine-tunes a language model using medical literature and clinical terminology.
Related Concepts
- Transfer Learning
- Foundation Model
- Large Language Model
- Training Data
- Machine Learning