As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to research and code generation, developers often face a significant challenge: scaling GPT-4 for affiliates. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it might provide irrelevant output, hallucinated facts, or misunderstood instructions. https://stefansen-weiss-5.blogbright.net/gpt-4-vs-gpt-3-5-understanding-the-quantum-leap-in-ai