How to use continual learning in your ML models

Academics and practitioners alike believe that continual learning (CL) is a fundamental step towards artificial intelligence. CL is the ability of a model to learn continually from a stream of data. In practice, this means supporting the ability of a model to autonomously learn and adapt in production as new data comes in. The idea of CL is to mimic humans ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. CL of models in production will improve accuracy, and bring AI one step closer to real human intelligence.