LLM Fine-Tuning Techniques: A Technical Overview
Fine-tuning adapts a pretrained large language model to specific tasks or domains by continuing training on a smaller, targeted dataset. This write-up covers the major approaches, their mechanics, and practical considerations.
Full Fine-Tuning
The most straightforward approach updates all model parameters during training. You initialize with pretrained weights and perform
