China for the first time set the artificial ielligence model of one billion parameter on the quaum computer and opened a new way to deal with the computational power crisis.
Chinese scieists in the world have been able to accurately adjust an artificial ielligence model with a billion parameter on an independe quaum computer called Origin Wukong. The computer works with the Wukong 4 -key chip and is capable of performing hundreds of tasks simultaneously, which has a significa impact on the speed of learning of artificial ielligence models. Experimes show that the performance of this model in the field of meal health has improved by 15 % and in mathematics from 67 to 82 %.
The “Fine-Tuning” process is referred to as using a trained model and updating it with specialized data to improve performance in a particular field. This experime not only shows the possibility of using quaum computers to lose weight of large language models, but also a new solution to the global crisis of “lack of computational power” in the field of artificial ielligence.
Since the launch of Origin Wukong in January 2024, the platform has done more than 6,000 tasks in the financial, medical and engineering fields, and users from nine couries have had access to it. This success has made China one of the pioneers of the combination of artificial ielligence with quaum calculations; However, the United States, Canada and Europe are also investing heavy competition.
