Data-driven enterprises should opt for fine-tuned language models (LLMs) customised to their needs, not commercial off-the-shelf solutions, to address data privacy, protection, and hallucination mitigation using Response Generation (RAG). LLM orchestration solution proposed includes query rephrasing, co-referencing, query type, item and attribution identification, response generation, and digression handling. Adoption of fine-tuned LLMs allows enterprises to unlock insights in a data-centric world.
