As large language models (LLMs) like GPT-4 become integral to applications which range from customer support to analyze and code generation, developers often face an essential challenge: GPT-4 improvements over GPT-3. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or https://squareblogs.net/roastmonkey0/gpt-4-api-best-practices-how-to-build-reliable-scalable-and-high-quality