As large language models (LLMs) like GPT-4 become integral to applications including customer support to analyze and code generation, developers often face an essential challenge: differences between GPT-4 and previous GPTs. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, or misunderstood https://graph.org/How-to-Debug-GPT-4-Responses-A-Practical-Guide-11-27-2