As large language models (LLMs) like GPT-4 become integral to applications including customer support to research and code generation, developers often face a crucial challenge: debugging large language model outputs. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, or misunderstood instructions. https://www.psychologyofsailing.com/members/cicadajaguar3/activity/58757/