"Simu Technology Releases the World's First Industrial Multimodal Large Model IndustryGPT, Empowering China's Intelligent Manufacturing"

2023-11-08

Industrial large-scale model technology is the engine of a new round of industrial revolution, but there are still many challenges to be applied in industrial manufacturing, especially the lack of professional knowledge. The industry urgently needs artificial intelligence technology to enhance and release productivity, and looks forward to the emergence of large-scale models.

On November 5th, Jia Jiaya, a lifelong professor at the Chinese University of Hong Kong and the founder and chairman of Simu Technology, released the world's first industrial multimodal large-scale model IndustryGPT V1.0 at the 6th China International Import Expo and Hongqiao International Economic Forum.

This is the first appearance of the industrial large-scale model, which also allows traditional enterprises to share the dividends of intelligent manufacturing brought by artificial intelligence technology.

Simu Technology has more than 20 years of experience in artificial intelligence technology research and development, focusing on intelligent manufacturing, serving more than 200 top global enterprises, and accumulating rich industrial knowledge, experience, and data, laying a solid foundation for the development of industrial large-scale models.

According to reports, Simu Technology has collected comprehensive knowledge in five disciplines including light, machinery, electricity, calculation, and software, as well as eight major industries including electronics, equipment, steel, mining, power, petrochemical, construction, and textiles, and data from more than 200 different industrial scenarios, with more than 3 million industrial images and over 50 billion tokens! This is equivalent to the reading volume of 100,000 doctoral graduates.

Simu Technology has refined the data and invited more than 100 engineering experts to sample and evaluate the quality of the data and write "text pairs" data.

Jia Jiaya said that IndustryGPT has broken through the limitations of traditional human-computer interaction and provides users with a more intuitive and convenient user experience. Whether it is engineers, production managers, or production line workers, they can easily use it and plug and play.

Jia Jiaya and his team demonstrated the fluency and professionalism of IndustryGPT in communication with humans, software, and hardware. For example, using Simu Technology's self-developed industrial intelligent universal platform SMore ViMo, IndustryGPT only took 5 minutes and 27 seconds in a product classification detection, with an accuracy and recall rate of 100%, while the manually trained solution took 9 minutes and 31 seconds, with an accuracy rate of only 50% and a recall rate of only 66.7%. The function of using IndustryGPT to drive intelligent hardware devices is under development. Users only need to give instructions in natural language and complete the task in as fast as 5 minutes through a few simple conversations.

Jia Jiaya revealed that "IndustryGPT will continue to iterate on the basis of the V1.0 version and become a true intelligent entity." At that time, IndustryGPT will turn mechanical systems into intelligent entities that can make intelligent decisions based on real-time needs and data changes, achieving autonomous control and collaboration.

Simu Technology has been committed to creating more inclusive and universal intelligent products and solutions, promoting the landing of artificial intelligence technology in the industrial field. The release of IndustryGPT opens the era of large-scale models in the industrial field and provides a perfect entry point for the commercialization and B2B services of large-scale models. In the future, IndustryGPT will be updated at a faster pace, and Simu Technology will inject innovative vitality into traditional industries with stronger technical strength, more perfect products, and solutions, and help the brilliant future of intelligent manufacturing in China.

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