Transfer Learning

Transfer learning reuses knowledge learned on one task or dataset to improve learning on a related task, often via pretrained models.

You start from a model that already learned something useful elsewhere and adapt it to your problem.

• NIST AI Risk Management Framework — risk vocabulary context for AI systems
• Brel Digital company and technology profiles — applied usage evidence where tagged