(Foreword) Current,CarsThe industry is undergoing an unprecedented transformation, driven by new technologies that are redefining the way people think about mobility. Evolved from traditional means of transportation to:SmartTerminal andSmartMove the space,CarsThe industry is moving forwardSmartA new era of urbanization, connectivity and sustainability.
Rephrased) willArtificial intelligenceThere are still some challenges in the application of large models to the terminal field, but they have broad application prospects.
Rephrased) willArtificial intelligenceThe transformation of large models from laboratory research to real application in the terminal field needs to solve the problems of technology transformation, commercialization and industrialization.
Expansion: In the process of realizing industrialization, it is necessary to organically combine the research results of the laboratory with the market demand. It is necessary not only to solve technical problems, but also to consider the market sizeBusiness modeland challenges in the distribution of benefits. It can only be achieved with the coordinated promotion of all links in the industrial chainArtificial intelligenceIndustrialization of large models.
Only industries and fields with sufficient computing power and data carrying capacity can support itArtificial intelligenceApplication of large models.
Extensions:Artificial intelligenceLarge models have high requirements for computing resources and data, so the feasibility of resources needs to be considered when selecting application scenariosAvailability。The differences in data and computing power in different industries and fields determine the selection and adaptability of their application scenarios. Only industries and fields that can meet the demand for resources can really play a roleArtificial intelligenceAdvantages of large models.
Rephrased).Artificial intelligenceThe application of large models needs to match specific application scenarios and solve problems in terms of energy consumption and talent pool.
Extensions: Different use cases may require different models andAlgorithmsAt the same time, it is necessary to solve the problem of energy consumption and the supply of technical personnel to match it. Only by effectively solving these problems can we will:Artificial intelligenceThe large model has been successfully applied to the terminal field to realize the commercialization and industrialization of the technology.
Rephrased).Artificial intelligenceLarge model withCarsThe combination of industries presents many exciting prospects for the future.
Rephrased).Artificial intelligenceLarge models can be applied to:SmartThe cockpit, which offers moreSmartChemicalHuman-computer interactionExperience.
Extension: PassedArtificial intelligenceApplication of large models. SmartThe cockpit can be moreSmartand personalization to achieve a more natural and human-machine relationshipSmartinteractions. For example,Speech recognition, sentiment analysis, andSmartTechnologies such as recommendations can provide car owners with a more convenient and comfortable driving experience.
Rephrased).Artificial intelligenceThe underlying technology of the large model can be optimizedAutonomous drivingSystematic cognitive and decision-making skills.
Extensions: By referenceArtificial intelligenceGenerative underlying technology for large models,Autonomous drivingThe system can better understand and improve the surrounding environment, improving driving safety and driving efficiency. For example, by simulating and learning Xi large amounts of driving dataAutonomous drivingThe system can more accurately identify and respond to a variety of complex traffic situations.
Rephrased).Artificial intelligenceLarge models can be revolutionizedCarsdesign, engineering, and manufacturing processes to improve productivity and quality.
Extensions: Through the appArtificial intelligenceLarge model,CarsDesign, engineering, and manufacturing can be simulated and optimized more efficiently, reducing product development costs and cycle timesAt the same time, through data analysis andSmartControl, which can improve production efficiency and improve product quality. For example, with virtual reality, designers can do it more intuitivelyCarsThe exterior and interior are designed to significantly reduce product development time while reducing the need for physical prototype manufacturing and testing.
Summary)Artificial intelligenceLarge model withCarsThe combination of industries presents many exciting prospects for the future. By solving application challenges, we can achieve industrialization landingArtificial intelligenceLarge models are available inSmartcockpit,Autonomous drivingsystem andCarsIt plays an important role in the design and manufacturing process. However, to realize these prospects, it is necessary for all parties to work together, including **, industry, enterprises and scientific research institutions. Only through collaborative advancement can we overcome the difficulties of technology, resources and applications, and promoteArtificial intelligenceThe large model is inCarsThe industrialization of the industry. CarsThe industry, as a core area, will be in:Artificial intelligenceDriven by large models, more is ushered inSmart, the future of efficiency and innovation.