GLOSSARY TERM
What is Few-Shot Learning?
Training models to recognize new concepts from a very small number of examples.
Few-shot learning leverages prior knowledge gained during pre-training to rapidly adapt to new tasks. It drastically reduces the need for large, manually annotated datasets, enabling agile deployment of specialized AI models.
Agile AI Adaptation
Deploy highly capable few-shot models instantly via the M1 architectural layer.