SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models

Xiang Liu, Zhaoxiang Liu, Peng Wang +4

When using supervised fine-tuning (SFT) to adapt large language models (LLMs) to specific domains, a significant challenge arises: should we use the entire SFT dataset for fine-tun…