RAG vs Fine Tuning: Navigating the Terrain of Model Adaptation

Transfer learning techniques RAG and Fine Tuning are explored in this post. RAG combines retrieval and generation for context-aware responses, while Fine Tuning adapts a pre-trained model to a specific task. The pros and cons of each approach are discussed.