Fine-Tuning
The process of taking a pre-trained model and further training it on a smaller, task-specific dataset to adapt its broad knowledge to a specialized domain.
Think of It Like This
Like taking a doctor who has already completed general medical school and giving them specialized training to become an expert cardiovascular surgeon.
Fine-tuning leverages transfer learning by starting with weights that have already captured general patterns from a massive dataset. This requires significantly less data and computational power than training a model from scratch. It is the standard method for adapting foundation models for specific enterprise use cases, such as customer support or coding assistance.