Section 01
导读 / 主楼：A Detailed Explanation of Large Language Model Fine-Tuning Techniques: From Full-Parameter Training to Parameter-Efficient Methods
Introduction / Main Post: A Detailed Explanation of Large Language Model Fine-Tuning Techniques: From Full-Parameter Training to Parameter-Efficient Methods
An in-depth analysis of the complete technical roadmap for LLM fine-tuning, covering full-parameter fine-tuning and PEFT parameter-efficient methods, with a focus on the principles and practices of mainstream techniques like LoRA and Adapter.
