Fine-tuning LLMs vs RAG - Which Approach for Production? - Printable Version +- Anna University Plus (https://annauniversityplus.com) +-- Forum: Technology: (https://annauniversityplus.com/Forum-technology) +--- Forum: Artificial Intelligence and Machine Learning. (https://annauniversityplus.com/Forum-artificial-intelligence-and-machine-learning) +--- Thread: Fine-tuning LLMs vs RAG - Which Approach for Production? (/fine-tuning-llms-vs-rag-which-approach-for-production)

Fine-tuning LLMs vs RAG - Which Approach for Production? - Admin - 10-11-2025 Hi ML community! I'm working on a project that requires domain-specific knowledge for a chatbot. I'm torn between fine-tuning an existing LLM (like Llama or Mistral) versus implementing a RAG (Retrieval-Augmented Generation) system. What are your experiences with production deployments? RAG seems more maintainable but fine-tuning might give better performance. Cost and update frequency are also considerations. Any insights would be appreciated!