Transfer learning reuses existing ML models for new tasks, speeding up development and enhancing performance. It reduces data requirements for training ML models on new tasks, facilitating quicker ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Transfer learning has emerged as a pivotal strategy, particularly in the realm of large language models (LLMs). But what exactly is this concept, and how does it revolutionize the way AI systems learn ...