Tencent's collaborative SaaS products are fully connected to the hybrid model to achieve intelligent upgrades

The application of large models will be accelerated.

On April 22, Tencent announced that its collaborative SaaS products have been fully connected to Tencent's hybrid model, in addition to "one door and three masters" products such as WeCom, Tencent Meeting, and Tencent Docs, Tencent Lexiang, Tencent e-Signature, Tencent Questionnaire, Tencent Cloud AI Code Assistant and other collaborative SaaS products have also been intelligently upgraded.

Since its launch, Tencent Hybrid has highlighted its practical label, and one of its core missions is to optimize the user experience of Tencent's products. Tencent's hybrid model has been expanded to a trillion-level parameter scale, taking the lead in adopting a hybrid expert model (MoE) structure in China, and is better at handling complex scenarios and multi-task scenarios, and the overall performance of Chinese is at the leading level in the industry. Tencent MixElement provides excellent performance in mathematics, code, logical reasoning, multi-round dialogue, and Wensheng diagrams, and provides models of different sizes to adapt to more application scenarios that require low cost and high inference performance. External developers and enterprises can directly call Tencent Hybrid Capabilities through APIs on Tencent Cloud. Combined with SaaS products, these capabilities can solve user pain points in specific scenarios.

In the case of internal learning and training, Tencent Lexiang combines the capabilities of large models with internal knowledge of the enterprise, and uses AI assistants to assist learning to improve the efficiency of knowledge transfer; in the scenario of electronic contracts, Tencent e-Sign uses large models and AI capabilities to improve the efficiency of contract drafting and review, and intelligently screen risks; in the scenario of questionnaire research, Tencent Questionnaire has created a full-process AI solution, covering the process of questionnaire design, delivery, recycling, and analysis, greatly improving the quality and efficiency of research. In the development scenario, Tencent Cloud AI Code Assistant provides AIGC services for developers, development teams, and enterprise customers with secure, compliant, and high-viscosity experience based on Tencent's professional coding model.

In collaborative office scenarios, Tencent Meeting hands over redundant meeting minutes, course notes, to-dos and other items to an AI assistant and intelligent recording, allowing participants to effectively improve their concentration and communicate more efficiently during the meeting.

Tencent Lexiang: AI assistant assists learning to improve the efficiency of knowledge transfer

Tencent Lexiang is a knowledge learning and collaboration platform serving enterprises, providing enterprises with learning and training, knowledge management and culture building services, and has served more than 300,000 customers and more than 100 million authorized users.

Based on Tencent's hybrid model and knowledge engine, Lexiang has launched an AI assistant to help enterprises improve the efficiency of knowledge production and learning. Enjoy the AI assistant integrates large model capabilities and internal knowledge of the enterprise to provide intelligent Q&A, intelligent generation, and assisted creation capabilities.

Compared with the traditional search mode, AI intelligent Q&A can integrate multi-modal information such as product documents and videos, summarize and generate natural language answers, and further shorten the information acquisition chain.

In training scenarios, the AI intelligent generation function can summarize and generate knowledge points of live content and courses to help employees improve learning efficiency. At the same time, it can automatically generate test questions according to the training content to help the trainer check the training effect.

The auxiliary authoring function can be continued, polished, abbreviated, and corrected according to the content of the document to help users quickly generate materials.

In industries with a high knowledge threshold, Lexiang AI assistant has significantly improved the efficiency of knowledge transfer. Kuangzhen Law Firm in Hunan Province has imported more than 40,000 internal knowledge documents compiled by employees into Tencent Lexiang to build an exclusive AI knowledge base and realize the AI intelligent Q&A function. According to the employee survey, the AI answers to typical questions are as high as 93 points, and the end-to-end question accuracy rate is 91%.

Tencent e-Signature: Improve the efficiency of contract drafting and review, and intelligently screen risks

Tencent e-Sign is an electronic contract management tool created by Tencent, because it can quickly initiate and sign contracts based on the WeChat ecosystem, and has grown rapidly since its launch, and has served more than 30 million individual and enterprise users.

After being connected to Tencent's hybrid model, Tencent e-Sign provides intelligent support for the whole life cycle of contract drafting, review, signing, and management.

When drafting the contract, users can input the contract requirements in natural language and directly generate the contract through Tencent Mix. In the review process, the text summary ability is used to refine the approval opinions of different roles, so that the participants can quickly review the contract. At the same time, combined with PDF parsing and document intelligent multi-modal capabilities, the structured presentation of contract content is realized, the differences between multiple contracts and versions are accurately compared, and the efficiency of contract review is improved. At the risk screening level, the AI intelligent document review system is used to accurately identify contract risk clauses and generate AI review results, which is convenient for enterprises to control contract risks.

Enterprises have different requirements for risk control in contracts. Tencent eSignature also uses large models and few-shot technology to train small vertical models suitable for customer industries to achieve low-cost operation. At the same time, through the hybrid cloud model, it supports the private deployment of data and models, solves efficiency problems and ensures compliance.

In government departments with a large number of contracts and documents, the intelligent ability of electronic signature has significantly improved the efficiency of contract management. A municipal government has built a "smart contract" system based on Tencent e-Sign, and introduced intelligent comparison and risk screening capabilities in contract and agreement scenarios such as party organization relationship moving in, building approval, land leasing, and private charging pile installation application. Test data shows a 97% increase in approval efficiency.

Tencent Questionnaire: Intelligent design, delivery, and analysis to greatly improve research efficiency

Tencent Questionnaire is a professional online questionnaire survey platform owned by Tencent, providing professional survey research solutions based on data collection, with more than one million real sample users. Up to now, Tencent's questionnaire service has more than 48 million users, more than 200,000 registered teams, and helped users collect 3.4 billion questionnaires.

Based on the large model, Tencent Questionnaire has created a full-process AI solution, covering the process of questionnaire design, delivery, collection, and analysis, greatly improving the quality and efficiency of the survey.

In the questionnaire design process, users can directly describe their needs in natural language, and Tencent Questionnaire's AI solution can automatically generate customized questionnaires, including questionnaire surveys, information reporting, online exams, 360-degree evaluations, voting and selection, registration and punch-in, online assessments and other types.

In the process of questionnaire delivery, AI can realize the automatic demarcation, delivery, and screening of samples. In the process of delivery, the large model can also generate targeted questions according to the needs of the researcher, screen the samples, and exclude the samples that do not meet the requirements, so as to improve the accuracy of the delivery.

After the questionnaire is delivered, AI can identify invalid questionnaires and reject them, and generate a comprehensive and professional analysis report with one click, covering conclusions such as frequency analysis and text analysis, effectively improving analysis efficiency. At the same time, AI can also cluster and summarize the subjective text questions in the questionnaire to help the questionnaire issuer quickly understand the respondent's views and concerns.

AI Code Assistant: Enhance the coding AIGC service to help developers improve quality and efficiency

Based on Tencent's professional coding model, Tencent Cloud AI Code Assistant is a digital tool that provides developers, development teams, and enterprise customers with AIGC services for safe, compliant, and high-viscosity coding scenarios, with functions such as code completion, technical dialogue, code diagnosis, and unit testing.

In terms of code completion, AI code assistant can provide automatic completion based on multi-file understanding and context, effectively improving coding efficiency and quality. In terms of technical dialogue, it can help developers to answer technical questions and answer questions at any time and give technical answers with inferential value, and also supports inline dialogue and code interpretation to guide developers to accurately understand the engineering context and guide them to solve problems. In terms of code diagnosis, it can help developers diagnose code problems, give suggestions for corrections, find problems that cannot be found by rules, and provide valuable and readable suggestions. In terms of unit testing, unit test cases can be generated and executed according to the executable test code, reducing the time for writing single tests, and improving the quality and efficiency of developers' development and learning work as much as possible.

It is understood that Tencent Cloud's AI code assistant has achieved more than 40% coverage of development employees within a cooperative enterprise, with a code generation rate of about 30%, an adoption rate of about 20%, a storage rate of more than 60%, and a completion time of less than 500ms. Combined with Tencent Cloud's internal experience in large-scale production, the coding efficiency has been improved by more than 20%.

WeCom: It has been applied in mailbox and customer service scenarios

As a corporate communication and office tool created by the WeChat team, WeCom has connected more than 12 million real enterprises and organizations, and the number of WeChat users served by enterprises through WeCom has reached 500 million every day.

At present, WeCom has been connected to Tencent's hybrid model to improve product experience. In the enterprise mailbox, Tencent Mixed Yuan model has been used to check the spelling and grammar of English input to improve accuracy, and in customer service scenarios, WeCom combined with Tencent Mixed Yuan model to provide customers with better services and improve service efficiency.

Tencent Meeting: AI assistant, intelligent recording, and real-time subtitle translation make meeting discussions more immersive

In the past, users were always busy taking minutes and writing notes during meetings or classes, which often distracted them from the content of the meeting or course, resulting in low efficiency.

Tencent Meeting continues to invest in the research and development of intelligent technologies and capabilities, handing over redundant meeting minutes, course notes, to-dos and other matters to AI assistants and intelligent recording, so that participants can effectively improve their concentration during the meeting, devote themselves to the meeting content, and think more actively about problems, understand the content and give feedback, and make communication more efficient.

This time, Tencent Meeting showcased more AI technology capabilities, such as personalized reminders and key information extraction through AI assistants to help users easily cope with complex and large course and meeting information, intelligent recording to view intelligent transcription and full-text summary content in a timely manner after the meeting, understand meeting minutes and to-dos, and help users quickly find target topics and content through intelligent chapters or speakers.

Tencent Docs: "One Sentence" opens up a new experience of efficient creation

As a cloud-based productivity tool that can be collaboratively edited, Tencent Docs currently has more than 200 million monthly active users, with more than 5 billion documents created by users, and more than 1.2 million enterprises and organizations served.

Relying on the AI model, Tencent Docs Intelligent Assistant has been fully applied to document types such as documents, tables, slides, PDFs, intelligent documents, collection forms, mind maps, etc., covering the second-level processing of text content, the application of function formula operations, the accurate presentation of table data, the rapid generation and beautification of PPT, the automatic analysis of collection results, and the one-click generation of mind maps, and supports the smooth flow of cross-category document content. On the desktop or mobile terminal of Tencent Docs, users can start the intelligent office and efficient creation experience after AI integration through the "one-sentence" command.

At present, more than 400 businesses and scenarios within Tencent have been connected to Tencent's hybrid model, and significant progress has been made in product innovation, cost reduction and efficiency improvement. Tencent Hybrid is also actively developing multimodal models, further strengthening Wensheng graphics and Wensheng video capabilities, providing services for more scenarios and products, and helping enterprises achieve intelligence.