Abstract: In order to better cope with the impact of large language models on the intelligent and digital transformation of the fire rescue industry, this paper first reviews the development history of large language models, and then analyzes their development logic from general ability construction to industry adaptation. Secondly, focusing on fire rescue scenarios, the system elaborates on the relevant technical implementation and practical application status of large language models in the field of fire rescue. Based on this, it deeply analyzes the core challenges faced by large language models in industry applications, such as data availability and industry adaptability. Finally, the research directions and application prospects of future large language models in the field of fire rescue were discussed.

Key words: fire rescue, large language model, DeepSeek, natural language processing, multimodal data, intelligent agent