As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to examine and code generation, developers often face an important challenge: debugging GPT-4 outputs. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it might provide irrelevant output, hallucinated facts, or misunderstood instructions. Debugging https://rentry.co/hvubbg6o