Shulou(Shulou.com)11/24 Report--

On October 24, at the time of the 2023 iFLYTEK Global 1024 developer Conference and the 2023 iFLYTEK smart car launch, iFLYTEK Motor Co., Ltd. and Great Wall Motor Co., Ltd. signed an agreement on industrial large model and knowledge brain strategy cooperation. Great Wall Automobile Vice President she Shangfeng, iFLYTEK Vice President Liu Junfeng, and senior executives of both sides attended the signing ceremony.

IFLYTEK is an important partner of iFLYTEK Automobile. On October 24, Kodafi released the Great Wall Spark cognitive large model V3.0 at the developer conference, and actively explored and landed the application scenario of the large model in the automotive field. According to the strategic cooperation agreement signed this time, Great Wall Automobile and iFLYTEK will carry out in-depth cooperation in the fields of Great Wall model, enterprise service, knowledge center, digital application, etc., to help Great Wall Automobile build the first knowledge big model of the industry-Great Wall Automobile knowledge brain. As an AI base for sustainable upgrading of intelligent vehicles in the new era, the large model will help enterprises build intelligent knowledge base, provide empowerment from research and development, after-sales service, corporate office and other scenarios, effectively solve traditional business pain points, realize knowledge automation construction, service capability upgrading and digital applications, and build a new ecology of intelligent vehicle digital services around the whole scene of the automobile industry.

"the reform of the automobile industry, electrification is the first half, while intelligence is the second half" has become the general consensus of the automobile industry. For manufacturing enterprises, with business development and long-term production and operation, they often accumulate a large amount of professional knowledge. at the same time, there are some problems, such as the difficulty of centralization and structure of knowledge management, the lack of systematic knowledge system, the reliance on teaching of key business knowledge, low retrieval efficiency, low accuracy and so on, which lead to the lack of knowledge recognition ability and difficult to use. It is difficult to promote the rapid development of enterprises efficiently. How to internalize the enterprise's own knowledge to the employees is the key action to improve the collaborative ability of the organization. the enterprise's knowledge includes all kinds of rules, regulations, processes, standards, work instructions, operation and maintenance books and other "explicit knowledge". It also includes the "tacit knowledge" of industry experts with rich experience in the business line. It is a great challenge to find the corresponding norms for specific problems in the professional norms guidelines of tens of billions of documents, and to "prescribe the right remedy to the case".

Great Wall Automobile knowledge brain is an AI large model system based on Great Wall enterprise knowledge, which combines the massive knowledge of Great Wall Automobile to train enterprise-level knowledge models. By invigorating documents, data, pictures and other forms of knowledge in the enterprise, it assists business personnel in decision-making, R & D engineers' design and programming work, and constructs a set of complete closed loops from knowledge production, governance, learning, application, etc. Realize the autonomous learning and self-growth of the big model Around the large model, a complete business service system is built from data, computing power, algorithm and application. Combined with the scene data of the Great Wall, the large model of the vertical region of the Great Wall is iterated, so that the performance of the model and domain adaptation is continuously enhanced and the scope is increasing. Through the establishment of enterprise exclusive knowledge base, the accuracy of large model output is improved with reliable data and knowledge.

What is more far-reaching and deeper is the change of the automobile industry knowledge model to the whole chain of "research, production, supply, marketing, service and management". Taking the Q & An of enterprise bidding knowledge in the field of research and development as an example, R & D is the key to maintain the core competitiveness of enterprises. The pain point in the past is that there are difficulties in R & D knowledge retrieval, R & D knowledge sharing, product document management and so on. The original way is to search the relevant enterprise bid files and open the files one by one to find answers. Enterprise bid knowledge Q & A-to solve the problem of rapid acquisition of knowledge, the number of bid documents is 10,000, the original way of inquiry is about 10 minutes, after using the bid assistant, the answer is given directly based on the search knowledge analysis, and the location of the answer is located at the same time, liberate the R & D personnel from the original "Wenshan table sea", help them understand the crux of the problem in one step, and focus on solving the key problems. It can really solve the problem of "inefficiency" in the docking of supply and demand, improve the efficiency of knowledge sharing and speed up the process of product research and development.

In the application stage of the knowledge model of the automobile industry, the so-called "empowerment" is not only to blindly improve efficiency, but also to improve ability, which can not only help professionals improve efficiency and remove themselves from tedious tasks to create value, but also help non-professional "rookies" enter the AI era with zero threshold. Let the "easy-to-use" Great Wall knowledge brain, create a personal AI assistant, to release everyone's possibility. Great Wall Motor has built a general knowledge application platform-G-BOT based on various business scenarios, which can provide a series of convenient tools to be close to the actual combat of enterprise business, be familiar with enterprise business content, and be able to understand professional terms, definitions, rules, logic and models in specific fields, as long as the precipitated knowledge of the enterprise is input into the system. Employees can get accurate answers about the "100, 000 whys" of the enterprise anytime and anywhere, and the answer also has a clear source, "traceable", and become the "chief knowledge officer" of the enterprise itself. At present, App Assistant has launched a variety of knowledge, which has greatly improved the efficiency of knowledge utilization of users. Knowledge inheritance and innovation is the power source of enterprise development, and effective knowledge management and application is the key factor to improve R & D and manufacturing experience, optimize business efficiency and quality, and shorten the production cycle in the automotive field.

The signing of this contract marks the continuous deepening of strategic cooperation between iFLYTEK and iFLYTEK. Great Wall Motor will jointly build the industrial application of AI model with Great Wall Automobile and Great Wall knowledge base, build a large AI model foundation with self-evolution ability for full digitization and intellectualization of Great Wall Automobile, and create digital productivity and intelligent service capability.

In the future, around the development direction of digital intelligence of the automobile industry, the two sides will continue to explore innovation, empower the development of the industry, go deep into the practice and training of the vertical field, and accelerate the real landing of the knowledge model of the automobile industry to the enabling industry. we will jointly build a new ecology of automobile intelligence and add new momentum to the intelligent process of China's automobile industry.

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