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 ...

When discussing learning transfer—the ability to apply previous knowledge, skills, and strategies to new contexts or situations—we should also be mindful of our learners’ cognitive load. Cognitive ...

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 ...