On April 24, on the eve of the Beijing Auto Show, at the 2024 TIME DAY Tencent Intelligent Travel Technology Open Day, Tencent released a “global intelligence” plan for a large model of the automobile industry, covering five core scenarios such as automobile research and development, production, marketing, service and enterprise collaboration.
At the same time, Tencent has released upgrades in smart car cloud, smart cockpit, going out to sea and so on.
Tang Daosheng, senior executive vice president of Tencent Group and CEO of Cloud and Smart Industry Group, said: “Tencent insists on being a ‘digital assistant’ and ‘ecological co-builder’ for the upgrading of the automobile industry.
On the one hand, Tencent continues to consolidate cloud, map and other core technical capabilities to build a solid foundation for the development of automotive intelligence.
On the other hand, we are also working with the upstream and downstream partners of the industrial chain to actively explore the innovative application of cutting-edge technologies such as AI models in various scenarios of the automotive industry, and use AI to drive the ‘new intelligence’ development of the automotive industry.
” Tang Daosheng, senior executive vice president of Tencent Group and CEO of Cloud and Intelligent Industry Group.
Currently, Tencent has provided cloud services to more than 100 car companies and travel technology companies, of which more than 30 have used Tencent’s overseas cloud services.
By the end of this year, Tencent’s smart car products will be loaded into more than 15 million vehicles.
The “global intelligence” solution for the large model of the automotive industry covers the five core scenarios of “research, production, collaboration, marketing and service”.
At the meeting, Tencent released the “global intelligence” solution for the large model of the automotive industry.
at present, it has been applied in five core scenarios, such as automobile research and development, production, marketing, service and enterprise collaborative office.
Zhong Xuedan, vice president of Tencent Smart Travel and head of Tencent Smart Travel, said that the big model of Tencent automobile industry is carrying out application practice with more than a dozen automotive industry partners, such as Changan, Guangzhou Automobile, FAW Toyota, Dongfeng Lantu, Yi car, and so on.
For example, in the research and development stage, Tencent Cloud AI code assistant can help software engineers write code, patch code, diagnose and test code, and improve the efficiency of research and development such as self-driving.
In a pilot for an enterprise customer, the AI code assistant helped improve the overall human performance of its developers by 7 per cent.
In the production process, the large model can help optimize the automobile process design, while the “transparent factory” based on digital twin and AI technology can intelligently analyze production data and help optimize production line layout and process flow.
In terms of corporate office work, Tencent enjoys AI assistant, which allows employees to search quickly in the complicated enterprise database, and draw conclusions at the minute level with the help of the inductive ability of large models.
Tencent conference AI assistant, on the other hand, has the intelligent capabilities of automatic summary of meeting content, meeting management and so on.
In addition, the large model can also effectively improve the ability to identify financial risks in the automotive field, help auto companies to actively identify all kinds of black ash production organizations, and prevent malicious loan fraud.
In marketing and sales, with the help of Tencent’s AIGC and multimodal capabilities, car companies can effectively cope with the complex and changeable new media marketing environment.
For example, digital Homo sapiens live car sales, intelligent generation of posters and videos and other publicity materials.
In the service link, the new generation of Tencent enterprise intelligent customer service can provide more professional answers to the difficult problems of car use and maintenance by training and fine-tuning based on the large model of the automobile industry.
solve the problems of inexperienced customer service personnel and unfamiliar products.
In the on-board service scenario, Tencent intelligent cockpit solution TAI 5.
0 launched a large cockpit model, which is based on the mixed element general model, adding professional data tuning and task training in the automotive industry to bring users a human-like intelligent partner and more accurate and meticulous answers to high-level tasks.
According to Sun Jue, general manager of Tencent Smart Travel Intelligent cockpit, based on Tencent’s leading APP Agent (intelligent agent) capabilities, it takes only one week to learn and skillfully use hundreds of applications or Mini Program under mature processes, without the need for API to achieve in-depth voice interaction with vehicle Mini Program and APP, and can fully understand users’ intentions, replace users’ intelligent operation of various complex applications, and improve service efficiency.
Li Bo, vice president of Tencent Wisdom Travel, said that Tencent adheres to a pragmatic attitude of technological development and is committed to providing truly landing and executable solutions for large models of the automotive industry.
Tencent is willing to work with partners in the automotive industry to start with mature products and scenarios to help auto companies gradually cultivate and build their own large model capabilities.
Tencent provides a full-stack large model capability base to help automotive companies innovate and improve efficiency.
Tencent provides the automotive industry with a full-stack large model capability base from model, computing, AI engineering platform to AI application, helping to get through the “last kilometer” of large model landing applications.
Tencent automobile industry large model full stack capability matrix, in terms of model, Tencent Cloud automobile industry large model adds a large amount of professional data of automobile industry on the basis of full-link self-developed mixed element model.
Carry on pre-training, fine tuning and intensive learning of vertical tasks in the automotive field.
In terms of performance, Tencent Cloud Automotive Industry Big Model has achieved industry-leading results in Chinese reading comprehension COT, end-to-end Q & A, automotive industry-related tasks, and so on.
At the computing base layer, Tencent provides high-performance, high-bandwidth and low-latency computing base support for large models in the automotive industry.
The new generation of HCC high-performance computing cluster, which supports 100000-card GPU super-large computing scale, is one of the most powerful large model computing clusters in China.
Large models with trillion parameters can be trained in as soon as four days, and can also be fully applied in autopilot, simulation and other scenarios.
The star pulse network developed by Tencent has brought the industry’s highest 3.
2T communication bandwidth to the new generation cluster, so that the super computing cluster can still maintain excellent communication overhead ratio and throughput performance, and the GPU utilization is increased by 40%.
At the same time, through the training and reasoning framework developed by Tencent, car companies can save 50% of their computing costs when training hundreds of billions of large models.
At the AI project platform layer, Tencent provides a set of easy-to-use and practical tool chains that cover the whole life cycle of large models, reduce the difficulty of training and fine tuning of large models, and improve the efficiency of research and development.
For example, the industry large model fine tuning solution on Tencent Cloud TI platform can help model developers and algorithm engineers solve data processing problems in one stop, preset data sets of 140 different types of large model fine tuning task scenarios, and build a complete pipeline covering data cleaning, prompt optimization, data filtering, data enhancement and other data processing links, which can help customers quickly prepare high quality fine tuning data.
On the other hand, Tencent Cloud’s large model knowledge engine can comprehensively deal with complex enterprise documents, and perform document parsing, reasoning and health more efficiently.
Success, and significantly improve the end-to-end question and answer effect.
With the help of Tencent Cloud’s big model knowledge engine, the question-and-answer accuracy of a car assistant in a car company has increased from 35% to 84%.
Intelligent car cloud and light map solutions have been upgraded to improve the efficiency and quality of autopilot.
Zhong Xiangping, vice president of Tencent and president of Tencent Intelligent Transportation and Travel, said that Tencent adheres to the strategy of “integration of car and cloud and based on cloud map”.
The scope of cooperation with the automobile industry is constantly expanding, and the business depth is deepening.
As self-driving enters the stage of large-scale production, Tencent Intelligent car Cloud has been upgraded to meet new challenges such as business continuity and cost.
First of all, with millions of smart cars spread all over the country, higher requirements for business continuity are put forward under the requirements of real-time interaction between vehicles and clouds, data recovery, and large-scale high-frequency OTA.
In terms of basic network, Tencent Cloud networking service relies on Tencent’s global backbone network, which can help automobile companies to establish service nodes around the world, providing more stable and high-quality services for local intelligent network-connected vehicles and users nearby.
At the same time, cloud networking provides a variety of SLA protection levels to meet different business data transmission needs.
In terms of zone cloud, Tencent is the first in the industry to open double cloud zones in East China and North China, which can flexibly support remote disaster recovery and provide basic support for the business continuity of intelligent driving based on remote dual-active configuration.
In terms of security, Tencent’s industry-leading security products such as IOA zero-trust security management, security data lake and Xcheck application security testing tools provide comprehensive security protection for the development, testing and operation of autopilot to safeguard business continuity.
Secondly, Tencent Intelligent car Cloud provides a full range of cost reduction and efficiency solutions, from direct cost reduction of basic resources, to comprehensive cost reduction through architecture and solution optimization, to efficiency improvement in areas such as AI research and development and data mining, to help customers achieve overall cost reduction.
Tencent self-driving simulation system TAD Sim launched a proprietary cloud version, relying on Tencent’s compliance cloud services to solve the pain points of long construction cycle and high maintenance cost of privatized cloud simulation projects.
TAD Sim can also provide more than 1000 real high-precision map libraries with different road features, as well as more than 2000 logical scene libraries, providing customers with convenient, efficient and immediately available solutions.
At the same time, Tencent has also launched a light map program to enhance the auxiliary driving experience through SD navigation maps or HD Air light and high-precision maps, and to support ordinary highway applications nationwide.
For example, Tencent helped Yuanrong launch to create the industry’s first high-level intelligent production program that only uses navigation map data, which has achieved stable operation in complex urban areas.
Liu Shuquan, vice president of Tencent Smart Travel, said that Tencent has provided autopilot cloud services for companies such as Lailai, Mercedes-Benz, Bosch and NVIDIA.
On the same day, Tencent Cloud also announced that it had signed strategic cooperation with companies such as Wenyuan Zhixing, Black Sesame Intelligence, Zhixing Technology and other companies to jointly create a leading intelligent driving solution.
In addition, Tencent Automotive overseas solution has also been newly upgraded to help Chinese car companies efficiently layout overseas digital infrastructure and enrich overseas ecology through core competencies such as globally integrated cloud services and intelligent cockpit overseas solutions.
According to Shen Pei, general manager of Tencent Smart Travel Strategy, Tencent Cloud helped GAC Ean quickly deploy digital infrastructure for Southeast Asia and completed the mass production of car networking in the Thai market within three months.
Tencent has also launched an overseas smart cockpit scheme, which is based on browser form, which can help Chinese car companies quickly and cheaply build a localized cockpit service ecology.
Also invited on the day of the event were Wu Xinzhou, global vice president of NVIDIA, Zhang Xiong, deputy general manager of GAC Ean, Chen Rui, deputy general manager of GAC GROUP Dasheng Technology Co., Ltd., Wang Jinwei, new business director of FAW Toyota Motor sales Co., Ltd., Lu Hanchao, R & D director of MBUX intelligent cockpit and vehicle networking of Mercedes-Benz China R & D center, Han Xu, founder and CEO of Wenyuan Zhixing WeRide, Wang Yongliang, deputy general manager of Wutong Automobile Federation.
Partner representatives such as Jean-Marc Pailhol, member of the Board of Directors and Chief Officer of Global Strategic Cooperation of Allianz World Cooperation Group.
Share the forward-looking insights on the development of automobile intelligence and the landing results of cooperation with Tencent.
In the future, Tencent will continue to be the digital assistant of the automobile industry, open and innovate with ecological partners, and jointly promote the development of automobile “new intelligence”.
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