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: GPT-4 output evaluation techniques. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it might provide irrelevant output, hallucinated facts, or misunderstood instructions. https://diigo.com/011dsw0