As large language models (LLMs) like GPT-4 become integral to applications starting from customer support to examine and code generation, developers often face a crucial challenge: GPT-4 hallucination mitigation. Unlike traditional software, GPT-4 doesn’t throw runtime errors — instead it may provide irrelevant output, hallucinated facts, or misunderstood instructions. Debugging https://edgarbsiz37037.bloggerchest.com/38758960/how-to-debug-gpt-4-responses-a-practical-guide