How can LLMs help with automotive safety engineering?
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering
October 17, 2024
https://arxiv.org/pdf/2410.12475- This paper presents Aegis, a multi-agent AI system designed for automating complex functional safety tasks in the automotive industry.
- Aegis utilizes a hierarchical multi-agent structure with specialized roles and leverages Retrieval-Augmented Generation (RAG) to enhance LLMs with domain-specific knowledge from external sources like safety standards.
- The system demonstrates improved performance in generating Functional Safety Requirements and test cases compared to standalone LLMs, highlighting the potential of multi-agent systems with RAG for handling complex engineering tasks.