As large language models (LLMs) like GPT-4 become integral to applications including customer support to analyze and code generation, developers often face a crucial challenge: GPT-4 output evaluation techniques. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it could provide irrelevant output, hallucinated facts, or misunderstood instructions. Debugging https://output.jsbin.com/wunogonari/