Background : In 2022, the new concept of AIGC (AI-Generated Content, Artificial Intelligence Generated Content) was born. It is not only sought after by consumers, but also attracts the attention of the investment community, and is even pursued by the technology and industry circles. In December 2022, OpenAI's large-scale language generation model ChatGPT hit the Internet. It is smarter than humans and can conduct high-EQ dialogues, generate codes, conceive scripts and novels and other scenarios, pushing human-computer dialogue to a new level. Through the practice of ChatGPT in many application scenarios on the client side, a large number of technology companies actively embrace AIGC, and continue to combine with business to launch related technologies, platforms and applications.
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Why are many companies not making knowledge bases?
Intelligent customer service robot is one of the earliest application scenarios of AI in the enterprise, and the core of intelligent customer service robot is the enterprise knowledge base. However, many obstacles are encountered in the process of building the enterprise knowledge base. Accumulation mechanism, on the other hand, stock knowledge is often difficult to effectively transfer. In order to help enterprises build a knowledge management system, as early as the 1960s, Michael Polyani proposed the concept of explicit knowledge and tacit knowledge , which was further developed by Nonaka and Takeuchi in the book "Knowledge Creation Company" (1995). The theory is perfect. However, according to domestic research, the explicit knowledge that can be replicated and disseminated in current enterprises often only accounts for 5% of enterprise knowledge
In the process of constructing the enterprise knowledge management system, the concept of knowledge worker (Knowledge Worker) has been widely introduced into various roles of the enterprise, including consultants, IT operation and maintenance, customer service, marketing experts, etc., and has created and applied knowledge for the enterprise. effect. The way knowledge workers carry knowledge determines the efficiency of knowledge application. We divide the way knowledge is carried into four stages
Personal Experience and Thoughts
The precipitation of enterprise knowledge comes from the continuous experience accumulation of knowledge workers. However, personal experience is accompanied by the flow of personnel, and it is difficult to become a stable value asset of the enterprise.
Information Service Records
Building an IT system based on the goal of service informatization and online can allow knowledge workers to continuously transform service experience into digital information at work; however, it is difficult to directly transmit discrete information fragments, and its quality cannot be guaranteed.
document management tool
Through the enterprise's effective knowledge management mechanism and management tools, knowledge workers can be encouraged and supervised to summarize and optimize fragmented information, and finally form transferable knowledge documents. Consulting documents relies on the active behavior of users, so it is the least efficient way of knowledge transfer. It is often difficult for users to select documents accurately, and bear a high cost of reading and understanding.
Automation & Intelligent Services
The highest way of carrying knowledge is to combine it with services. With the help of automated and intelligent service carriers, knowledge information is delivered to targeted user groups based on needs, and one-stop knowledge application services are provided for users.
To this end, Zhenzhi Technology has launched an intelligent dialogue robot Yan Xiaoqian based on the AIGC large language model . It can combine the enterprise's private domain knowledge base with the AIGC large language model to provide enterprises with exclusive intelligent knowledge service solutions.
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What problems does Yan Xiaoqian help you solve?
1. Yan Xiaoqian's big language model application
The core of Yanxiaoqian's solution is to integrate the knowledge of the private domain within the enterprise with the AIGC large language model, and to provide users with a one-stop question-and-answer service with the help of the large model's excellent language generation capabilities:
1. Yanxiaoqian's supporting knowledge center provides a convenient way to upload documents . Enterprises can import internal personnel policies, financial policies, management formulation, operating instructions, product documents and other information into the knowledge space of the enterprise's private domain ;
2. Yan Xiaoqian will automatically extract the text information of the uploaded word/pdf document, and combine the semantic understanding ability of the AIGC large language model to summarize and disassemble the text part of the knowledge into Yan Xiaoqian's question and answer corpus ;
3. Yan Xiaoqian also supports artificial supplementation and maintenance of some standard question and answer corpus, and can set the priority of using question and answer corpus from different sources according to the actual situation;
4. When the user initiates an inquiry, Yan Xiaoqian can match the question-and-answer corpus according to the content of the user's inquiry, and find the corresponding document knowledge block based on the question-and-answer corpus, and then generate high-quality content in real time through the AIGC large language model to reply to the user .
2. Yan Xiaoqian can provide services for different positions
【Personnel Department】
Yan Xiaoqian can learn the internal personnel regulations of the company and the human resources and social policies of the local government, and answer various personnel questions of employees by himself, including the entry process, salary description, social security policy, holiday rules, employee benefits, etc., freeing the human resources team from simple trivial matters .
Example: Yan Xiaoqian can answer users' questions based on the "Employee Handbook":
【IT department】
Yan Xiaoqian can learn IT-related product descriptions, operation manuals, etc. within the enterprise, and can summarize solutions from historical work orders, helping IT operation and maintenance personnel to automatically solve 70 % of repeated problems, reducing enterprise IT operation and maintenance costs .
Example : Yan Xiaoqian can answer users' questions based on the "Operation Manual":
【financial department】
Yan Xiaoqian can learn corporate finance and reimbursement norms and general financial knowledge of Chinese companies. He can not only answer questions about budget norms, reimbursement consultation, and expense control systems for corporate employees; he can also help financial personnel answer professional questions such as accounting standards .
Example : Yan Xiaoqian can answer users' questions based on the "Accounting Standards for Business Enterprises":
【Customer Services】
Yan Xiaoqian can learn relevant knowledge about the products or services sold by the company, provide customers with 24-hour pre- sale consultation, product introduction, answer customer demands, and improve customer product experience.
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What is the core advantage of Yan Xiaoqian?
1. Real-time generation of AI corpus of documents in seconds
Traditional intelligent robots need to rely on manual sorting of a large amount of question-and-answer corpus for support, and enterprises will bear a large amount of manual maintenance costs. Yanxiaoqian has the dual database matching ability of integrated question and answer database + knowledge base , which can not only automatically parse word and pdf documents uploaded by enterprises into question and answer corpus, but also meet the standard question and answer needs of enterprises in some scenarios.
In terms of efficiency, it takes about 2 days for an employee to sort out a 10,000-word document with rich content into a standard question and answer; Yan Xiaoqian can complete the analysis of the document in only 15 minutes at most, and can also Generated more similar problems. And Yan Xiaoqian can support multi-threaded tasks, 24 hours of uninterrupted work, and the efficiency is more than 300 times that of manual work.
2. One-stop interpretation of foreign language materials
When some enterprises or institutions use foreign large-scale IT software, they will store a lot of foreign language operation manuals, which poses a huge challenge to the use of internal employees. Yanxiaoqian can support translation and analysis of documents in multiple languages , and supports users to ask and answer questions in Chinese in real time.
Example : This is an INVUG document of Oracle EBS, after parsing and answering questions:
3. Integrate Internet public domain knowledge
In addition to studying corporate private domain documents, Yan Xiaoqian can also access the public domain of the Internet, retrieve information on the Internet, and obtain key content to reply.
4. High-quality content creation
Yan Xiaoqian can also assist employees in their daily work, including generating copy, refining language, language translation, operation guidance, etc., and creating high-quality content according to user needs.
5. Directly reach users through multiple channels
In order to better serve users, Yan Xiaoqian can go deep into all aspects of users' daily work. Through deep integration with enterprise portals, IT systems, Qiwei, Feishu, DingTalk, etc., users can communicate with Yanxiaoqian anytime and anywhere.
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Try it for free and leave all the problems to Yan Xiaoqian
Zhenzhi Technology is a leading SaaS enterprise of service management digitalization. Yan Xiaoqian, as a member of Zhenzhi Technology's product family, aims to help enterprises better realize the service of knowledge, make the knowledge of enterprises alive , and through knowledge The application helps enterprises improve the efficiency of each link and reduce the cost of repeated manual services.
At the same time, under the empowerment of Zhenzhi Technology's products and solutions, Yan Xiaoqian also has more service capabilities. Integrate with service work orders, online customer service, call center and other modules. Through continuous learning of work order solutions and service dialogue records, new knowledge can be continuously refined and reused. When encountering similar problems next time, it can directly replace manual solutions plan.
In addition, in order to allow everyone to enjoy Yanxiaoqian's intelligent inquiry service more easily, we have launched a trial version of Yanxiaoqian for everyone to experience.
