GLOSSARY TERM
What is Meta-Learning?
A subfield of machine learning focused on models that learn how to learn.
Meta-learning trains a model across a wide variety of tasks to discover generalized learning rules. It enables rapid adaptation to completely novel problems with minimal data, often referred to as 'learning to learn.'
Adaptive Intelligence
Deploy systems that adapt dynamically leveraging M1's meta-learning protocols.