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

On August 23, Tianrun Rongtong (also known as "Tian Runyun", 2167.HK) officially released "Weiteng Big language Model platform 2.0".

"large model + enterprise knowledge = enterprise knowledge engineering".

"Enterprises that fail to effectively record and manage knowledge cannot continue to make progress. In the production process of an enterprise, compared with other scenarios, the customer contact scene, which runs through the whole cycle of marketing, sales and service, is particularly dependent on knowledge accumulation. Whether marketing personnel, customer service personnel, after-sales personnel, including voice and text robots need to master a lot of proprietary knowledge. The accumulation and effective application of these proprietary knowledge has always been a difficult problem for the industry. Today, the emergence of large models provides a powerful underlying tool for enterprise knowledge management. Therefore, as a vertical large model under the customer contact scene, the Weiteng big language model platform takes enterprise knowledge management as a breakthrough to empower marketing, sales, service and other processes intelligently by tamping the enterprise knowledge base. Wu Qiang, founder and CEO of Tianrun Rongtong, explained the positioning of Weiteng big language model platform and its value to enterprise customers at the press conference.

Anchoring three values

Boost enterprise growth

Wu Qiang said that enterprise knowledge is not only the key driving force to promote the development of enterprises, but also an important basis for enterprises to gain advantages in the fierce market competition. Through effective knowledge accumulation and knowledge management, enterprises can make new breakthroughs in operational efficiency improvement, cost lean control, market insight, decision-making assistance and so on.

There are three main categories of enterprise knowledge:

First, the original knowledge of the enterprise

Usually includes the early precipitation of the enterprise contact process FAQ, customer high-frequency questions, agent gold talk, and so on. However, these data are usually lagging behind and in urgent need of aggregation and tailoring, which can no longer help agents to give customers the latest and most accurate answers, nor can they support enterprises to complete effective operational analysis and operational optimization.

Second, enterprise documents

In the process of development, enterprises have deposited a large number of product user manuals, equipment maintenance guidelines, supplier management system and other contents, these information are increasing and iterative year after year, in the past can only rely on manual memory and recording of these massive and in-depth information, resulting in unable to effectively deal with customer problems in the actual business.

Third, conversation information

A large amount of conversation information will be generated in the scenarios such as pre-sales consultation and reception, transformation of sales opportunities, after-sales service and so on. This information often hides great commercial value.

These three types of enterprise knowledge connect the business scenarios of enterprise marketing, sales, service and so on. These scenarios are important areas for the landing of innovative technologies, so all enterprises expect the value of these three core scenarios to be more explored. However, most enterprises do not do a good job in the management of enterprise knowledge and have not found an effective way to activate it. The emergence of the large model provides a reliable "connector" for enterprise knowledge and customer contact, and finds a new breakthrough for enterprise growth.

Large models liberate people from repetitive forms of work and improve their ability to deal with innovative and complex tasks. Let the business flow achieve automatic flow, customer contact data get in-depth mining and analysis, so that the enterprise growth breakthrough from the promotion of external work intensity to the improvement of internal capabilities.

Weiteng big language model platform

Will provide three major values for business growth:

Value one, efficient assistance, the value of man-machine integration has been completely magnified

"Human-computer integration" will release more productivity in business scenarios such as customer service reception, session analysis and extraction, and automatic form filling. In the face of complex problems, make full use of the Weiteng large language model platform to give full play to human creative value; in the face of simple scenes, improve the robot's ability to deal with repetitive and basic tasks, this kind of cooperation can achieve man-machine complementary advantages and enlarge the value output.

Value 2. Knowledge is an important base to drive the development of enterprises.

If the knowledge mastered by the staff in different links is not consistent, efficient coordination is impossible. Therefore, first of all, it is necessary to ensure the unity and effectiveness of the enterprise knowledge system; secondly, the effective activation of enterprise knowledge can enable people and machines to quickly find the required information with the help of the knowledge base when the business flows. Improve work efficiency and service quality; at the same time, the contents of the knowledge base can be generated into training courses or courses to provide employees with professional training and learning resources. Knowledge-driven enterprise development can provide customers with better products and services.

Value 3. Insight into the business value hidden in huge amounts of data

Weiteng language model platform and BI deep integration, customer dialogue data, business operation data for all-round aggregation, cleaning and analysis. To achieve accurate insight into customer aspirations, online intentions, high-frequency problems, golden speech, service level, service efficiency, customer satisfaction, customer sentiment and other dimensions. Through in-depth analysis and insight into a large amount of data, enterprises can more accurately understand customer needs and expectations, so as to optimize their marketing strategy, product design and customer service.

Weiteng big language model platform can effectively "refine" enterprise knowledge, and enterprise knowledge will be an important wealth for the future development of enterprises.

Get through to the last kilometer

The growth of thousands of industries and all industries

Tian Fengzhan, chief scientist of Tianrun Rongtong, also made a speech at this conference. He said that in the AIGC era, every enterprise must have a big language model to build its competitive advantage, which is the trend and the future.

With the continuous development of technology, the general language model has been widely used in C-end users and helps them solve the problems they encounter in their daily work or life. However, the general language model is aimed at general knowledge, and can only effectively deal with common problems and general context. it is difficult to be effective and reliable in the face of the unique business models, audience groups and industry knowledge of different industries and enterprises. Focusing on the B side, the general large model also has many problems in landing application, such as data security, customization, cost, business matching and so on. Therefore, we need a vertical large model in the customer contact scenario to solve the problem of the last kilometer when the general large model actually lands.

The Weiteng language model platform released by Tianrun Rongtong is precisely positioned to get through the last kilometer of the commercialization of the general model, and it is a vertical commercial model platform under the customer contact scene. The company has long-term business and technical practice in the field of customer contact, which has laid a solid industry knowledge foundation for the launch of Weiteng big model.

This depends on the following four key factors:

Long-term accumulation of technology:

Continue to innovate and evolve in the field of AI technology, and continuously refine and complete a series of core technologies, such as word vector model, semantic classification model, sequence tagging model, semi-supervised / weak supervised model, AIGC retelling model, large model tuning method, dialogue management scheduling supervision model and entity recognition extraction model. Solid and long-term technology accumulation is the key to the emergence of Weiteng language model platform.

Rich industry Know- How reserves:

Since its establishment 17 years ago, Tianrun Rongtong has provided many enterprises with customer contact platform services in marketing, sales and service scenarios, and accumulated a large number of industry experience, scene experience and vertical customer contact professionals. These reserves are the key factors for the commercialization of Tianrun Rongtong Weiteng language model platform.

Converged technology applications:

The Weiteng big language model platform is composed of mainstream open source basic models and mainstream general large models. By tuning these models, the model is matched to the best customer scenario, and plug-in bazaar, prompt factory and open API are built to create a micro-rattan language model platform that can land B-end business scenarios.

Flexibly meet the individual needs of different enterprises:

In terms of data security and deployment, the Weiteng big language model platform supports private cloud deployment models, and enterprises can also customize their own datasets.

At the application level, customers can use it out of the box and complete the access quickly.

At the customization level, it can be customized according to the depth of the enterprise business, and can be connected in series with the internal system data of the enterprise.

At the compliance level, comply with China's AIGC-related product policy and data security management requirements

At the service level, the Weiteng language model platform trainer team will continue to assist enterprises to complete business optimization, corpus optimization, data analysis and other work.

Weiteng big language model platform can break through the last kilometer of the application of large model technology in enterprises, which is the result of long-term accumulation and continuous innovation of Tian run Tong.

Tianrun Rongtong

Lead customer contact into Zhaopin era

Based on the Weiteng language model platform, Tianrun Rongtong has completed the integration and transformation of multiple function points on the customer contact closed loop. In the actual business process, it is fully integrated into the existing business process of the enterprise, so that the platform users and managers can improve the efficiency without perception.

The Weiteng language model platform is the key achievement of Tianrun Rongtong's insistence on technological innovation. In the future, Tianrun Rongtong will continue to focus on intelligent technological innovation in the field of customer contact, so that people and machines can efficiently achieve complementary advantages and seamless convergence. Form a closed-loop system of technology, products, applications and value presentation. Build a new customer contact experience of "man-machine integration", and continuously improve the business price of the enterprise.

Follow the trial of "Tian run Rong Tong Wechat official account" and understand "Weiteng Big language Model platform"

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