January 3ShanghaiCity."AI The "+" Action Promotion Conference and the Opening Ceremony of the Base of China-BRICS Artificial Intelligence Development and Cooperation Center were held at the West Bank Grand Theatre.
At the meeting, Shanghai Municipal Commission of Economy and Information Technology, Shanghai Artificial Intelligence Industry Association, Shanghai Telecom and other units jointly released the "Industrial Corpus Version 1.0" and the "Tiangong Artificial Intelligence Industrial Platform".
Enterprises can utilize the Industrial Corpus version 1.0 for targeted training of industrial big models to provide more accurate decision support and solutions for enterprises.
The official introduction says that the Tiangong industrial platform adopts an open architecture, is compatible with mainstream large models, and incorporates an exclusive corpus based on industry characteristics.1AI is accompanied by an official expression:
- The Tiangong Industrial Platform aims to lower the threshold for industrial enterprises to use AI, improve the efficiency of AI application development and validation, and help enterprises realize intelligent transformation by integrating advanced AI technologies.
- The platform adopts a three-layer architecture, covering from the bottom layer of arithmetic support to the top layer of specific applications. The bottom layer provides powerful and controllable arithmetic resources and pre-trained large models to support the efficient use of resources; the middle layer brings together industry-related data and provides tools such as data cleaning and annotation to help enterprises create personalized knowledge centers; and the top layer is geared towards specific applications in various industrial fields.
- Through personalized customization solutions, the Tiangong platform can help enterprises improve production efficiency, reduce costs, and enhance product quality and competitiveness.
- On the platform, enterprises can quickly match ideal partners to jointly carry out AI technology-based industry-university-research results