As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to analyze and code generation, developers often face an important 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 instructions. https://www.generation-n.at/forums/users/judgesunday6