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 essential 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 https://corneliussenaustin97.blog2freedom.com/profile