As large language models (LLMs) like GPT-4 become integral to applications which range from customer support to research and code generation, developers often face an important challenge: GPT-4 reliability best practices. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or https://graph.org/How-to-Debug-GPT-4-Responses-A-Practical-Guide-11-27-2