Exploring the Ideas of Meta-Learning and Knowledge Distillation: Core Concepts and Future Development Trends of Large Models

The widespread application of large models across various domains has brought unprecedented possibilities to multiple fields. The integration of meta-learning and knowledge distillation presents a promising solution to issues such as cost and resource consumption caused by the expanding scale of these models.