As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to research and code generation, developers often face an important challenge: GPT-4 error correction. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or misunderstood instructions. https://rentry.co/gho66whv