Overview
Fine-tuning allows developers to leverage the general knowledge of a large foundation model and specialize it for a specific use case, such as medical diagnosis or legal analysis.
Benefits
- Efficiency: Requires much less data and compute than training from scratch.
- Performance: Often results in higher accuracy for specialized tasks.
- Customization: Allows the model to adopt a specific tone or follow specific constraints.