Fine-Tuning

Adapting a pre-trained AI model to a specific domain or task by training it further on a smaller, targeted dataset. Fine-tuning is how organizations take a general-purpose model and make it useful for their particular data — legal documents, medical records, financial filings. The key concerns are training data licensing (copyright risk), evaluation methodology (does it actually work better), and ongoing maintenance (models drift as the world changes).