Nested Learning: A New Paradigm for Continual AI Improvement

Nested Learning: A New Machine Learning Paradigm for Continual Learning The past decade has witnessed remarkable advancements in the field of machine learning (ML), driven primarily by powerful neural network architectures and the algorithms used to train them. Yet, despite the impressive capabilities of large language models (LLMs), several fundamental challenges persist—particularly in the realm of continual learning. This critical capability refers to a model’s ability to actively acquire new knowledge and skills over time without forgetting what it has already learned. Why Is Continual Learning So Important for AI? When it comes to continual learning and self-improvement, the human …