Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering

Yushi Yang, Andrew M. Bean, Robert McCraith +1

Fine-tuning Large Language Models (LLMs) incurs considerable training costs, driving the need for data-efficient training with optimised data ordering. Human-inspired strategies of…