
Meta-learning, often referred to as “learning to learn,” is transforming the landscape of artificial intelligence (AI) by enabling models to adapt quickly to new tasks, even when data is scarce. This revolutionary approach is poised to accelerate AI development, enhance model generalization, and optimize the learning process across various domains. By cultivating an environment where AI systems can function effectively