A06B-6220-H045H600 Open up new space for AI empowerment

A06B-6220-H045H600 Exhibition of industrial “specialty”, accelerate the application of large models

In recent years, generative artificial intelligence (AIGC), represented by large models, has flourished. At this conference, the field of large models showed a vivid picture of the emergence of intelligence, and Wensheng, Wensheng Diagram, Wensheng video model, end-to-side model, open source model and other collective appearances, promoting artificial intelligence to a new stage of comprehensive application.

At the conference, Kaos COSMOPlat also brought a live demonstration of the large-scale model of Tianzhi industry. From the “old master” experience, the injection molding process agent can intelligently recommend equipment parameters, to the “construction brain” that can help query building standards, assist drawing design and review. At present, Tianzhi Industrial large model has created more than 150 scenario-oriented solutions in 9 major industries such as automotive, chemical, mold, etc., to expand a greater space for promoting the application of artificial intelligence in the field of production and manufacturing.

Qin Chenggang mentioned that in order to make the large model more understanA06B-6220-H045H600 ding of industry, Kaos COSMOPlat injected 562 industrial data sets and more than 7 million high-quality industrial data into the Tianzhi industrial large model, precipiting 3900+ mechanism models and 200+ expert models, sublimating industrial experience into industrial intelligence, and helping enterprises to achieve high precision and high efficiency in industrial production.

For example, for the industrial injection molding scene, for the traditional parameter debugging rely on manual experience, long cycle, high difficulty pain points, Kaos COSMOPlat to create injection molding process intelligence, through the industrial large model intelligent recommendation process parameters, greatly shorten the equipment adjustment cycle. In practice, the average energy consumption of a single piece is reduced by 10%, the average beat of a single piece is increased by 6%, and the tuning cycle is shortened by 90%.

Build a new ecology and promote industrial intelligence

Focusing on the theme of “Artificial intelligence + Action · New acts of women”, focusing on topics such as artificial intelligence to promote the development of new quality productivity, artificial intelligence to better empower thousands of industries, AI governance innovation from the perspective of gender, Xie Haiqin shared the practiceA06B-6220-H045H600 of Kaos COSMOPlat in the fields of industrial Internet platform construction and industrial large model application. It provides experience and suggestions for promoting the inclusive application of industrial intelligence and building a prosperous and orderly digital ecology.

As the “first brand” in the industrial Internet industry, in the construction of digital ecology, Kaos COSMOPlat industrial Internet platform continues to promote cross-industry, cross-field resource integration and digital innovation, the platform has linked 900,000 enterprises, 160,000 service enterprises, and constantly expand its own brand boundaries, becoming the first 100 billion brand in the industrial Internet industry.

Xie Haiqin mentioned that the platform continues to deepen its capabilities in the home appliance, chemical, energy, auto parts and other industries, focusing on the solutions required by these industries, and directional output of digital capabilities and solutions. At the same time, Kaos COSMOPlat is also continuing to promote the application of AI technology in multiple industrial scenarios such as production scheduling, quality inspection, and logistics, accelerating the empowerment of Tianchi industrial large models in the field of production and manufacturing, helping enterprise equipment management, energy consumption optimization, etc., providing innovative means for the deep integration of artificial intelligence and all walks of life.

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