Reducing Hallucinations in Large Language Models Through Integrated Self-Verification and Retrieval-Augmented Generation

Large Language Models (LLMs) are progressively used for advanced engineering tasks, includes Computer-Aided Design (CAD) documentation, standards compliance verification, and knowledge retrieval. Still, they are prone to produce hallucinations, outputs that seem convincing but aren't based on contex