As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to look into and code generation, developers often face a significant challenge: improving GPT-4 answer accuracy. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it might provide irrelevant output, hallucinated facts, or misunderstood https://www.psychologyofsailing.com/members/cicadajaguar3/activity/58757/