[Chinese Academy of Sciences: Independently developed new generation of artificial intelligence large model is released] The Institute of Automation of the Chinese Academy of Sciences released a new generation of artificial intelligence large model developed by the institute in Shanghai this morning (16th) - Zidong Taichu 2.0. Compared with the first generation, the new large model focuses on improving decision-making and judgment capabilities, achieving a leap from perception, cognition to decision-making. In the future, it will play a greater role in fields such as medical care, transportation, and industrial production.
The Institute of Automation of the Chinese Academy of Sciences released a new generation of artificial intelligence model developed by the institute in Shanghai this morning (16th) - Zidong Taichu 2.0. Compared with the first generation, the new large model focuses on improving decision-making and judgment capabilities, achieving a leap from perception, cognition to decision-making. In the future, it will play a greater role in fields such as medical care, transportation, and industrial production.
A large artificial intelligence model is a large and complex network system, similar to the human brain. The more nodes and data there are, the more powerful the processing power. Usually, the number of nodes in such a large model exceeds tens of billions. As my country's first large-scale three-modal image, text, and audio model that stores hundreds of billions of parameters, the first-generation Zidong Taichu artificial intelligence model achieved unmarked image, text, and voice recognition capabilities when it came out in 2021. This release The new generation of large models has been upgraded to incorporate recognition capabilities such as video, sensor signals, and 3D point clouds. It has broken through key technologies such as multi-modal group cognitive encoding, decoding, and full-modal cognition, and improved the system's decision-making and judgment. The ability opens up the path from perception, cognition to decision-making of system identification capabilities, thereby expanding a wider range of application scenarios. At present, the large model of Zidong Taichu is already outside the neural network.