As large language models (LLMs) like GPT-4 become integral to applications ranging from customer support to research and code generation, developers often face an essential challenge: GPT-4 vs GPT-3.5 comparison. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may well provide irrelevant output, hallucinated facts, or misunderstood https://olsson-kring-2.technetbloggers.de/gpt-4-api-best-practices-how-to-build-reliable-scalable-and-high-quality-ai-applications