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