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RegulaRAG outperforms existing RAG systems by 43% in generating regulation-compliant scenarios while using significantly fewer tokens, showcasing a breakthrough in efficiency and effectiveness.
Large language models can automate complex model transformations in automotive engineering, cutting manual effort significantly while ensuring structural validity.
