What is the difference between rag, fine-tuning, and embedding? RAG (Retrieval-Augmented Generation) connects an LLM to a curated database to improve outputs by integrating reliable information. Fine-tuning adjusts the model’s parameters by training it on a specialized dataset to improve performance on specific tasks.
