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: differences between GPT-4 and previous GPTs. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, https://beauty-community.com/members/bakerroot4/activity/68991/