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 important 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. Debugging https://franciscoevlb48158.wssblogs.com/38566373/how-to-debug-gpt-4-responses-a-practical-guide