[3R4-OS-27] サロゲートAIモデルの気象・海況/船舶への応用

[3R4-OS-27-04] Llamarine: Open-source Maritime Industry-specific Large Language Model

William Nguyen¹、An Phan¹、木村 考伸²、前野 仁²、田中 美佳²、Quynh Le¹、William Poucher¹、〇Christopher Nguyen¹ (1. Aitomatic, Inc, 2. 古野電気株式会社)

キーワード：LLM

Large Language Models (LLMs) have shown promise in complex reasoning but often fall short in specialized domains like maritime navigation. To address this, we introduce Llamarine 1.0, the first open-source LLM designed specifically for maritime applications. Developed through continued pretraining and fine-tuning on a curated corpus of maritime textbooks, research papers, and Wikipedia content, Llamarine possesses expert-level knowledge in navigation, collision avoidance, route optimization, and regulatory compliance. Our key contributions include (a) curating a high-quality maritime dataset from authoritative sources, (b) developing a domain-specific model that outperforms general-purpose LLMs in maritime reasoning, and (c) establishing a benchmark for evaluating performance in navigation-related decision-making. Experimental results demonstrate that Llamarine surpasses both general and commercial LLMs in several maritime critical tasks. By providing a specialized, open-source foundation model, Llamarine paves the way for AI-driven advancements in maritime safety, operational efficiency, and autonomous navigation.