On August 25th, TravelSky Mobile Technology Co., Ltd.’s Air Travel Vertical and Horizontal Team released the first vertical large-scale model in the field of civil aviation—a graphic computing multi-intelligence that integrates visual large-scale models, language large-scale models, multi-modal large-scale models and computational large-scale models. The "Qian Rang" large-scale model provides a complete intelligent generative large-scale model solution for the entire civil aviation industry.
What kind of big model is Qian Rang?
The Qianrang large-scale model is the first vertical large-scale model in the field of civil aviation released by the Air Travel Team. It integrates visual large-scale models, language large-scale models, multi-modal large-scale models and computational large-scale models with graphic and computational multi-agents. Based on the Tramsformer architecture, the Qianrang large-scale model has constructed various parameter models such as 1 billion, 10 billion, and 30 billion, which are expected to promote the digital and intelligent construction of the civil aviation industry and the intelligent travel of civil aviation passengers.
The Qianrang large model can conduct multiple rounds of daily dialogues with users, and grasp dynamic data such as flight status, real-time ticket information, and real-time industry operations. Qianrang supports multi-modal interaction, real-time information acquisition, accurate understanding of civil aviation knowledge, complex reasoning capabilities, high-precision calculation optimization and other functions, and can provide solutions for different scenarios in the consumer service field and industry service field.
The Qianrang large model is an innovative artificial intelligence technology that can bring more efficient, more convenient, and smarter services and management to the civil aviation field.
As the first vertical field, what is the significance of aviation?
Aviation is a highly complex and specialized field, which involves flight safety, air traffic control, airport operations, customer experience and many other aspects. This is an area where artificial intelligence can play a huge role in improving efficiency, reducing costs, and enhancing safety and satisfaction.
The choice of aviation as the first vertical field also reflects the deep understanding and contribution of the Air Travel team to the civil aviation industry. As a state-owned technology company initiated and established by China Civil Aviation Information Group Corporation, the Air Travel Group has rich civil aviation data resources and professional knowledge, as well as major shareholders such as the Air Traffic Management Bureau of the Civil Aviation Administration of China, China Eastern Airlines Group Corporation, and China Southern Airlines Group Corporation. of close cooperation.
The choice of aviation as the first vertical field also demonstrates the forward-looking and leading edge of the AI technology team. At home and abroad, there is no other artificial intelligence platform that focuses on the application and innovation of the civil aviation field. The Qianrang large-scale model fills this gap and brings new opportunities and challenges to the civil aviation industry.
The choice of aviation as the first vertical field also demonstrates the responsibility and pursuit of social responsibility of the Air Travel team. Under the influence of the new crown epidemic, the civil aviation industry is facing unprecedented difficulties and pressures, and needs to accelerate digital transformation and intelligent upgrading. It is against such a background that the Qianrang large-scale model came into being, providing strong support and assistance for the civil aviation industry.
Choosing aviation as the first vertical field is a strategic decision and a historic breakthrough.
In which fields will AI be widely used?
AI is a cross-field technology that can play an important role in various industries and fields. In addition to the aviation field, AI will be widely used in the following fields:
Medical health: AI can be used in intelligent imaging diagnosis and treatment, medical data mining, intelligent consultation, voice electronic medical records, health management, drug mining, etc., to improve medical quality and efficiency, reduce medical costs and risks, and improve people's health and life quality.
Education and training: AI can be used in intelligent teaching assistance, personalized learning recommendation, online education platform, virtual reality teaching, intelligent evaluation and feedback, etc., to improve the quality and effect of education, expand educational resources and channels, and meet the needs and needs of different learners. preferences.
Financial services: AI can be used in intelligent risk control, credit evaluation, anti-fraud, intelligent investment advisory, intelligent customer service, blockchain, etc., to improve the security and convenience of financial services, reduce the cost and threshold of financial services, and create more more financial value and opportunities.
Media entertainment: AI can be used in content generation, content recommendation, content review, speech synthesis, image processing, video analysis, etc., to enhance the innovation and diversity of media entertainment, reduce the production cost and time of media entertainment, and enhance the effectiveness of media entertainment. Interactive and fun.
The above are just some application examples of AI in various fields. In fact, the application potential of AI is unlimited. As long as there is data, there may be the existence and development of AI. With the continuous advancement and improvement of AI technology, we can expect more AI applications to appear in our lives, bringing us more convenience and surprises.
Source: Pinecon Smart