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: improving GPT-4 answer accuracy. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, or misunderstood instructions. https://demantchristopher84.azzablog.com/profile