As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to examine 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 could provide irrelevant output, hallucinated facts, or misunderstood instructions. http://exploreourpubliclands.org/members/roberthoe6/activity/1003916/