AI Glossary
Fine-Tuning
Adapting a model to a specific task or domain
Definition
Fine-tuning is the process of further training a pre-trained model on a smaller, domain-specific dataset to improve performance on a specific task. It is more efficient than training from scratch and allows organizations to customize foundation models for their use cases — such as a legal LLM or a customer service bot with company-specific knowledge.