Guide Compares LLM Customization Methods: Prompt Engineering, RAG, Fine-Tuning

An article on DEV Community compares three main approaches for customizing Large Language Models (LLMs). The methods are prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning. Each approach varies significantly in setup time, cost, required data, and the expertise needed to implement it. The guide provides a framework to help developers select the most appropriate method based on their project's specific requirements and constraints.