As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to examine 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 could provide irrelevant output, hallucinated facts, or misunderstood https://rentry.co/gho66whv