Why does Full Fine-Tuning matter for AI governance?

Storage is also a major consideration — each fully-fine-tuned variant produces a complete model copy (gigabytes to terabytes), whereas LoRA adapters are megabytes. Full fine-tuning also carries higher risk of catastrophic forgetting — losing capabilities the base model had — and overfitting on small datasets. The pl