tg8funregister| Weimeng Group: WAI has deeply applied more than 10 large models, and will accelerate the implementation of AI application scenarios in 2024

2024-05-13

RecentlyTg8funregisterWeimeng Group announcedTg8funregisterIts AI application product WAI has been successfully integrated into more than 10 major model platforms, including Tencent Mianyuan, Baidu Wenxin word, Zhisu GLM, Shang Tang Rixin, Moon Dark side Kimi, AliTongyi Qianwen, iFLYTEK Spark, and so on, and has achieved substantial cooperation results, and will accelerate the implementation of AI application scene in 2024.

In the past year, the competition of large model track has been fierce, and the iteration of domestic large model algorithm and computing power has been accelerated. Benefiting from this, relying on the strong general-purpose large model, combined with the data advantages and business depth leadership of Weimeng, the usability of Weimeng WAI products has also made great progress, and successfully landed in the practical application scenario.

tg8funregister| Weimeng Group: WAI has deeply applied more than 10 large models, and will accelerate the implementation of AI application scenarios in 2024

As far as Tencent's mixed meta model is concerned, Weimeng and Tencent Cloud jointly launched the industry model in June last year, and now it can support intelligent writing, intelligent customer service, intelligent drawing and other functions. Considering the strong cooperation between Tencent and Weimeng in marketing business and private domain business, and with the help of Tencent's high-quality general model, Weimeng WAI will further improve the service capability and efficiency of merchants in marketing, private domain and other subdivided scenarios.

It is worth noting that although Weimeng WAI has been connected to more than 10 large model platforms, it will adapt or create different application scenarios based on the characteristics and capabilities of different large models. Qiu Haoping, head of Weimeng Group AI, said that Weimeng will integrate various general large models, find the most suitable model for different applications, and fully test and upgrade application scenarios with the upgrade and iteration of each big model, in an effort to give full play to the intelligence of the big model. For AI applications, the token cost of the large model is not the largest cost item, and more investment lies in the mining of application scenarios, the design of the organic combination of the product and the large model, sufficient feasibility evaluation, the upgrade iteration after landing, and even the subversive adjustment accompanied by the upgrade of the large model.

Weimeng WAI released its SaaS version in May 2023, which has been upgraded to 2.Tg8funregisterVersion .0, in addition to Copilot form, natural language interaction, graphics and text application capabilities, further upgraded the AI Agent matrix, so that Weimeng SaaS customers fully feel the upgrade of applications in the AI era. These powerful capabilities rely on the close cooperation between WAI and various large models.

At present, through open source self-research and access to third-party platforms, SaaS products and services of Weimeng, including WeChat Mall, Enterprise Micro Assistant, OneCRM and other SaaS products and services have been connected to Weimeng WAI, covering more than 50 application scenarios including intelligent building, intelligent marketing, intelligent management and so on. According to the latest data, there are 4.Tg8funregister.20,000 merchants use WAI in the use of Weimeng SaaS products and advertising.

In addition, with the acceleration of AI application scene, the commercialization path of Weimeng WAI has also been expanded. In the second quarter of this year, Weimeng is expected to launch WAI Enterprise Edition for brand merchants, 4A advertising companies, marketing generation operation teams, and content creation teams.

It will further expand the layout of Weimeng in the field of enterprise-level AI applications and expand the customer base of services.