Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide
机构 * Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital(人工智能在医疗与医学中的chair,技术大学慕尼黑(TUM)和慕尼黑技术大学医院) ; Department of Orthopaedics and Sports Orthopaedics, TUM University Hospital(骨科与运动骨科,慕尼黑技术大学医院) ; Munich Center for Machine Learning (MCML), Munich, Germany(慕尼黑机器学习中心(MCML)) ; Department of Computing, Imperial College London, UK(计算系,帝国理工学院伦敦)
专题命中 指令微调 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to TACL. Pre-MIT Press version. Major restructuring; added preference alignment section and additional tables. 36 pages