As large language models (LLMs) like GPT-4 become integral to applications which range from customer support to research and code generation, developers often face a crucial challenge: how to debug GPT-4 responses. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it might provide irrelevant output, hallucinated facts, or https://canvas.instructure.com/eportfolios/4094041/entries/14399892