As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to examine 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 may provide irrelevant output, hallucinated facts, or misunderstood instructions. http://tagopenletter.com/members/coilwealth7/activity/15077/