Abstract: ObjectivesThis paper provides a comprehensive review of research on the integration of large model technology and the shipbuilding industry, analyzing the topic from multiple perspectives including technical principles, application principles and application scenarios. MethodsFirstly, the paper outlines the development route of AI and the underlying mathematical principles of large models, and analyzes the capabilities and limitations of large models. Based on the characteristics of the shipbuilding industry, the paper proposes principles for the application of large models in this field: (1) incorporating shipbuilding industry knowledge as constraints; (2) utilizing large models as planning engines; (3) constructing agent systems based on large models. Results Guided by these three principles, a multi-dimensional collation and evaluation of large model application cases in scenarios such as ship design, operation and maintenance, and planning and decision-making are carried out. ConclusionsOn this basis, several considerations regarding the empowerment of large models throughout the shipbuilding industry lifecycle are presented.