As large language models (LLMs) like GPT-4 become integral to applications including customer support to research and code generation, developers often face an important 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. Debugging https://beauty-community.com/members/singknight3/activity/68964/