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2025-01-18 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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Shulou(Shulou.com)11/24 Report--
Today, the artificial Intelligence Framework Ecology Summit was held in Shanghai. At the summit, AI MindSpore joined hands with industry users and partners to bring the latest development and series of major releases of the artificial intelligence framework, including 18 top AI enterprises, societies, universities and scientific research institutes jointly issued the "Ecological Initiative to build artificial Intelligence Framework", the establishment of the Open Source Community Council of MindSpore, the official launch of the Shanghai Zhusi AI Framework & large Model Innovation Center and the arrival of the first 22 units, full-mode large model "Zidong". Tai Chu 2.0 "official release and so on."
With the theme of "thinking about endless Innovation together", the summit comprehensively focused on the ecological development of artificial intelligence framework, promoted the innovation of artificial intelligence industry, and attracted representatives from more than 500 partners, industry customers, universities and research institutions of AI industry to participate in the meeting to discuss the ecological model and scenario application of AI framework under the background of AI technological innovation and industry integration. Extensive cooperation and in-depth communication around large models and AI framework technology in the field of scientific intelligence.
In the mathematical intelligence era, AI, as one of the important general technologies, has a strong spillover "head goose" effect. In the whole AI technology system, AI framework is in the position of "connecting link between the preceding and the next", enabling diversified computing power to the south and incubating all kinds of innovative algorithm models to the north, which is the soil and source of artificial intelligence application innovation. At the meeting, 18 AI leading enterprises, universities, scientific research institutions and open source communities jointly issued a joint initiative to "jointly build artificial intelligence framework ecology and prosper China's artificial intelligence industry", which proposed to support China's artificial intelligence framework ecology to a new height and promote the new development of China's artificial intelligence industry through joint efforts of politics, industry, university, research and application.
Joint release of "Ecological Initiative for Building artificial Intelligence Framework"
At present, the ecology of artificial intelligence framework represented by Luisi is developing rapidly. by the end of May 2023, the number of downloads of the open source community has exceeded 4.74 million, with 13000 community contributors and 5500 service enterprises. more than 5500 open source models have been published. In order to better promote the rapid development of the community, at the site of the conference, the Community Council was officially established, and the first batch of members included 18 units, including AI chip enterprises, AI application enterprises, universities and academic institutions. Based on the principle of "co-building, sharing and co-governance", the council will gather the strength of the industry, take root in AI technology, and jointly build an open, diversified and inclusive AI framework technology ecosystem, jointly promote ecological prosperity, accelerate the innovative development of universities and scientific research institutions, enable operators, finance, education and scientific research and other industries of national economy and people's livelihood, and contribute solid strength to the development of AI industry. At the meeting, Ding Cheng, director of the Thanksgiving Community, introduced four major innovation directions for the future, including technological innovation based on "building large model full process enabling, new paradigm of scientific computing" to accelerate the incubation of new AI applications, and operational innovation based on "large model platform, Study Group, geek week, global open source ecology" to promote community results to users more efficiently. Based on the talent innovation of "providing different training models for developers at different stages of learning, growth and research", cultivate the soil of AI industry, and continuously improve the ecological innovation of diversified computing power and hardware support based on "establishing industrial consortia, industry zones and other new means".
Think MindSpore Open Source Community Council established
Shanghai artificial Intelligence Research Institute, Shanghai Minhang District Government, Lingang Group, and Xisi Open Source Community jointly launched the Shanghai Jusi AI Framework & large Model Innovation Center (hereinafter referred to as the Innovation Center). The Innovation Center will join hands with industrial partners to support nationwide AI technology enterprises, universities and scientific research institutes to incubate large models, scientific and intelligent technology research. Then empower enterprises to create AI solutions and applications with extremely easy to use and extreme performance, serve the Internet, telecom operators, finance, education, health care and other key industries of artificial intelligence, create a series of competitive "AI + industries" demonstration application scenarios, and promote industrial agglomeration. Currently, the first batch of 22 units, including the Shanghai artificial Intelligence Lab, Shanghai Jiaotong University, Comac Shanghai aircraft Design and Research Institute, Shanghai Institute of Pharmaceutical Research of the Chinese Academy of Sciences, and Yuncong Technology, have officially entered the Innovation Center to jointly carry out large model innovation and AI industry-university-research transformation, becoming the "birthplace" of AI technology and application innovation, and jointly promoting the ecological and high-quality development of artificial intelligence framework.
Shanghai Jusi AI Framework & large Model Innovation Center officially launched
Shanghai Jusi AI Framework & the first batch of partners in the large Model Innovation Center
With the development of artificial intelligence, the importance of AI large model is becoming more and more prominent, and the development of AI framework will strongly support the innovation of large model. At the meeting, the Institute of Automation of the Chinese Academy of Sciences launched the full-mode large model "Zidong. Tai Chu 2.0" was officially released. The large model is in hundreds of billions of parameter three-mode large model "Zidong." The upgrade based on Tai Chu 1.0 adds more modes such as video, sensing signals and 3D point clouds in addition to voice, images and text, and realizes full-mode open access to structured and unstructured data in terms of technical architecture. it breaks through the key technologies such as cognitive enhanced multimodal correlation, and supports multi-round question and answer, text creation, image generation, 3D understanding, signal analysis and other cross-modal tasks. It also has the ability of full-mode intelligent labeling, which can realize the automatic discovery of unknown targets. Based on "Zidong. Taichu" 2.0, full-stack localization, low-code one-stop development of "Zidong. Taichu" open service platform has been launched, supporting one-click deployment of public and private clouds, enabling efficient development of large models in the industry, giving full play to enabling value to more areas, and accelerating the realization of general artificial intelligence.
"Zidong. Tai Chu 2.0" full-mode large model is officially released.
Technology is the root, talent is the foundation. Adhering to the concept of "technology first, developers first", we unite the vast number of developers to build an open source community to learn and grow together with developers. At the meeting, a total of 21 development teams, individual developers, university students and teachers were honored with the Outstanding contribution Award and the Outstanding mentor Award, respectively. Among them, the Outstanding contribution Award is for teams and individuals who have made outstanding code contributions to the community, and the Outstanding mentor Award is for teachers in excellent projects such as guidance operators, models, papers and application cases.
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