Exploring the Strengths and Trade-offs of Fine-tuning and RAG in Language Models

In the ever-evolving landscape of artificial intelligence, the incorporation of domain-specific knowledge into language models (LLMs) is not just a lofty goal—it’s a mission-critical aspect of model performance. This is where fine-tuning and Retriever-Reader (RAG) come into the picture, two powerful approaches with distinct methodologies for imbuing models […]