As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to look into and code generation, developers often face an essential challenge: GPT-4 hallucination mitigation. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or misunderstood https://graph.org/GPT-4-API-Best-Practices-How-to-Build-Reliable-Scalable-and-High-Quality-AI-Applications-11-27-2