For a medical conversational AI, how would you source and split data, choose between prompting, fine-tuning and RAG, and evaluate for hallucination and unsafe advice?

Use vetted clinical guidelines and de-identified, consented conversations, split by patient so nothing leaks into the test set. Start with RAG over trusted guidelines for current, cited facts; fine-tune only for tone or format. Clinicians check each claim against sources, and a test set of unsafe-advice cases, like emergencies, must trigger referral.