As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to research and code generation, developers often face an important challenge: GPT-4 features and upgrades. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it could provide irrelevant output, hallucinated facts, or misunderstood instructions. https://wikimapia.org/external_link?url=https://chatgpt4.uk/debugging-gpt-4-outputs/