Large language models (LLMs) have fundamentally altered the landscape of artificial intelligence, offering unprecedented capabilities in text generation, summarization, and creative synthesis. However, these models suffer from a persistent, well-documented flaw: the tendency to hallucinate. When operating without access to verified, real-time data, LLMs often generate plausible but factually incorrect assertions. The industry’s primary defense […]

