Research2026-05-12
Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications
Source: Arxiv CS.AI
arXiv:2605.09533v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly employed in enterprise question-answering (QA) systems, requiring adaptation to domain-specific knowledge. Among the most prevalent methods for incorporating such knowledge are Retrieval-Augmented...
arxivpapersragfine-tuning