Transfer Learning
Transfer learning allows a pre-trained AI model to be adapted for new tasks with relatively little additional training. By leveraging knowledge learned from a large, general dataset, the model can achieve strong performance on a related but more specific task using far less data and compute.
Why it Matters:
It dramatically reduces time, cost, and data requirements for deploying high-performing models.
To support client success, QAT Global leverages transfer learning to accelerate the delivery of domain-specific AI solutions. Our IT Staffing team sources engineers experienced in fine-tuning pre-trained models for client-specific applications.
Explore AI Glossary Categories
