As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to examine and code generation, developers often face a crucial challenge: securing gpt-4 api usage. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or misunderstood https://johnathanbsjz37047.blogoxo.com/39019896/how-to-debug-gpt-4-responses-a-practical-guide