What Sets RAG and Fine Tuning Apart in AI Applications

You need to know what truly separates Retrieval-Augmented Generation (RAG) from Fine Tuning in AI applications. The choice affects how your system handles up-to-date information, domain expertise, and enterprise requirements. For example, RAG often delivers 7% higher accuracy when combined with fine-tuned models, but responses can be 30-50% slower. Fine…