As large language models (LLMs) like GPT-4 become integral to applications which range from customer support to analyze and code generation, developers often face an essential challenge: GPT-4 prompt refinement. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, or misunderstood instructions. https://telegra.ph/GPT-4-vs-GPT-35-Understanding-the-Quantum-Leap-in-AI-11-27-3