Glossary · Technical concept
Fine-tuning
Further training of a pre-trained foundation model on a specific dataset to specialise it for a task or domain. Distinct from prompt engineering (no weight change) and full training (starts from random initialisation). Introduces specific risks: training-data leakage, alignment drift, forgetting of safety properties from the base model.
Framework references
- NIST AI 600-1