Currently, with the rapid development of a new round of technological and military revolutions, the outline of intelligent warfare is becoming increasingly clear. Large models represented by ChatGPT have emerged one after another, demonstrating the rapid development of large model technology. Big models, with their powerful knowledge reasoning, semantic understanding, and complex content generation capabilities, are reshaping the way combat decisions are made, promoting a qualitative leap in intelligent combat command, and providing technical support for winning intelligent wars. The 'super brain' for information aggregation and intelligence mining. Knowing the enemy and confiding in oneself, one will never be defeated in a hundred battles. The control of information power has become a key factor in winning intelligent warfare. Faced with the "flood" of multi-source heterogeneous data on the battlefield, large models, with their powerful information processing capabilities, are becoming an important support for battlefield intelligence analysis. Firstly, understanding multi-source data fusion. Large models can simultaneously process heterogeneous data from multiple channels such as radar, satellites, and drones, encode and understand different types of data information such as images, videos, and speech, achieve intelligent fusion of cross modal information, and extract key intelligence elements from them to construct a multidimensional battlefield cognitive map. Secondly, intelligent analysis and judgment of enemy situation. The big model analyzes the possible tactical choices and next steps of the enemy by deeply mining information such as military activities, troop deployment, and equipment characteristics, comparing historical data and combat theories. Especially in identifying abnormal behavior and detecting deception and disguise, the large model uses probability and statistical anomaly detection algorithms to gain insight into subtle changes in the battlefield situation. Again, precise evaluation of intelligence value. Faced with massive intelligence on the battlefield, the large model can automatically evaluate the reliability and timeliness of the intelligence, and prioritize presenting the truly critical information to the commander to avoid decision-making delays caused by information overload. At the same time, the large model can also combine contextual understanding and knowledge graph reasoning to automatically fill in intelligence gaps and construct a more complete battlefield picture. The 'intelligent staff' for formulating and deducing combat plans. Plan before taking action. A scientifically reasonable combat plan is the foundation of victory in combat, and in the future, large-scale models will become the commander's capable assistant, providing intellectual support for combat decisions at all times. Firstly, rapid generation and innovation of solutions. The large model can generate multiple sets of alternative combat plans in a short period of time by learning massive military theories, operational regulations, and historical battle cases, combined with the current battlefield situation, mission requirements, and available resources. The innovation capability of large models stems from their emergent nature, which allows them to be unrestricted by fixed thinking patterns, propose innovative solutions that commanders may overlook, and open up new ideas for combat decision-making. Secondly, simulation deduction and scheme evaluation. Large models can drive simulation and deduction systems to conduct rapid and multi round quantitative evaluations of various combat plans. It simulates the confrontation process between two warring parties under different conditions, calculates key indicators such as the success probability of the plan, casualty estimation, and resource consumption, and assists commanders in scientifically comparing the advantages and disadvantages of various plans. At the same time, the large model can also identify potential risk points and decision key points in the plan, and develop contingency plans in advance. Thirdly, dynamic optimization and real-time adjustment. The battlefield is constantly changing, and large models rely on their online learning and continuous adaptation capabilities to closely follow the latest intelligence on the battlefield, optimize and dynamically adjust combat plans in real time. Once the original plan encounters variables or is no longer applicable, the large model can immediately analyze the situation changes, adjust the strategy output in new situations, quickly propose alternative plans or revision suggestions, thereby endowing the combat plan with high flexibility and adaptability, effectively supporting the commander to flexibly adapt and firmly grasp the initiative on the battlefield. An agile hub for command, control, and collaborative operations. The one who shares the same desire wins. Future warfare emphasizes system confrontation and multi domain collaboration, and how to efficiently command various combat units to form a joint force is a huge challenge. The big model will become an important center of the command and control system, realizing the transformation from "intelligence control" to "victory". One is to accurately convey the command intention. By utilizing natural language processing and semantic understanding techniques, large models can accurately understand key elements of combat instructions such as "who, to whom, what to do, when to do, and how to do it", transforming the commander's abstract combat intentions into clear and specific tactical instructions and action requirements. It generates personalized and executable combat instructions based on the characteristics of different combat units, ensuring precise transmission and consistent understanding of command intentions within the combat system. The second is intelligent collaboration of multiple domain forces. The large model can coordinate the action rhythm and collaborative timing of multiple domain forces, optimize target allocation, firepower allocation, and resource scheduling, and achieve the maximization of overall combat effectiveness. Especially in unmanned equipment cluster operations, large models play a coordinating role, providing support for distributed combat units and achieving self-organizing and adaptive intelligent collaboration. The third is decision-making at the moment and agile response. In the face of unexpected situations on the battlefield, the large model combines real-time inference and rapid adaptation technology to quickly assess the situation, provide response suggestions to commanders, and significantly shorten the "OODA" cycle. The fast inference architecture and low latency response optimization of large models ensure that they can understand complex situations and generate decisions in a short period of time. When communication is interrupted or the commander is temporarily unable to directly command, the large model will still make limited autonomous decisions based on preset authorization and boundary conditions to maintain the normal operation of the combat system. (New Society)