Researchers have developed a Lightweight Multi-Agent DSB System (LM-DSB) to automate the creation of daily safety bulletins in the construction industry. This system utilizes retrieval-augmented generation (RAG) with a locally deployable Large Language Model (LLM), specifically Llama 3-8B, to generate these bulletins on consumer-grade hardware. The LM-DSB architecture employs specialized agents for planning, research, and writing, and has been fine-tuned on construction safety documentation. Evaluations indicate that the multi-agent RAG system significantly outperforms alternative configurations in terms of document generation and coherence, and expert assessments confirm its practical acceptability, particularly for regulatory compliance and factual accuracy. AI
IMPACT Democratizes access to AI tools for safety-critical documentation in industries with limited IT resources.
RANK_REASON Academic paper detailing a new AI system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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