As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to look into and code generation, developers often face an important 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 https://canvas.instructure.com/eportfolios/4096457/entries/14404190