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 an important challenge: GPT-4 improvements over GPT-3. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, or misunderstood
