Fine-tuning and embedding LLMs (GPT-3/3.5/4) have become a popular topic of discussion as people seek to leverage the power of this advanced language model for various applications, such as question-answering (QA) and information retrieval.
While both semantic embeddings and fine-tuning are techniques employed to adapt LLMs to specific tasks, they serve different purposes and offer unique benefits.
We will explore these two concepts together as they are related and there is often much confusion about which to use and when.
Core Concepts
LLM Transfer Learning
Transfer learning is a machine learning technique that allows a model to
