Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
With the surge of ChatGPT,the use of large models has significantly
increased,rapidly rising to prominence across the industry and sweeping across
the internet. This article is a comprehensive review of fine-tuning methods for
large models. This paper investigates the latest technological advancements and
the application of advanced methods in aspects such as task-adaptive
fine-tuning,domain-adaptive fine-tuning,few-shot learning,knowledge
distillation,multi-task learning,parameter-efficient fine-tuning,and dynamic
fine-tuning.