Supervised Fine-Tuning in Large Language Models

The Power of Supervised Fine-Tuning in Large Language Models: An In-depth Analysis#

Introduction#

In recent years, the development of machine learning, particularly large language models (LLMs), has revolutionized the way we approach a multitude of challenges, from query-based tasks to content generation. In this post, we will dive deep into a technique gaining traction within the AI community - supervised fine-tuning using domain-specific instruction datasets - and contrast it with the more conventional prompt tuning approach, with a focus on techniques such as retrieval augmentation.