As large language models (LLMs) like GPT-4 become integral to applications which range from customer support to examine and code generation, developers often face a crucial challenge: improving GPT-4 answer accuracy. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or https://output.jsbin.com/sudahaniho/