Meta-learning, or “learning to learn,” is an emerging field in machine learning that focuses on creating models capable of adapting to new tasks with minimal data or fine-tuning. A critical feature of advanced meta-learners is the ability to monitor and modify their own learning processes, drawing a parallel with the concept of introspection in human…