Fine-Tuning vs. RAG: The Strategic Choice for Elevating Your AI Applications
As AI applications outgrow their initial generic responses, developers face a critical decision: fine-tune models for embedded expertise or leverage RAG for dynamic knowledge retrieval. This guide dissects when each approach excels across tasks like coding, summarization, and chatbots, balancing cost, accuracy, and flexibility to prevent costly missteps.