When it comes to enhancing AI models, RAG (Retrieval-Augmented Generation) and Fine-Tuning offer distinct approaches. RAG combines external data retrieval with generative models, providing real-time, context-aware responses without modifying the base model. Fine-Tuning, on the other hand, involves retraining a model with domain-specific data to improve accuracy for specialized tasks. ... https://www.agicent.com/blog/rag-vs-fine-tuning/