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Anchoring to create the "Shanghai Highland" for artificial intelligence, Shanghai is accelerating the construction of a globally competitive large-scale industrial ecology. On December 16, the Digital Intelligence Shanghai 2023 Summit "Data Intelligence" Forum on Generative Artificial Intelligence Innovative Applications Empowering Thousands of Industries was successfully held. Experts, scholars and representatives from leading companies in the field of large models gathered together to share the latest technological progress of generative AI and cutting-edge enabling practices in finance, industry, medical care, education and other fields, and discuss the latest development trends of large models.
This forum is guided by the Shanghai Urban Digital Transformation Leading Group Office, Shanghai Economic and Information Commission, Shanghai Yangpu District People's Government, Shanghai Yangpu District Science and Technology Commission, and Shanghai Urban Digital Transformation Application Promotion Sponsored by the center, co-sponsored by the Shanghai Branch of China United Network Communications Co., Ltd., and hosted by this site (Shanghai) Technology Co., Ltd.
The person in charge of the Artificial Intelligence Development Division of the Municipal Economic and Information Technology Commission attended the forum and delivered a speech. Rewritten content: The head of the Artificial Intelligence Development Department of the Municipal Economic and Information Technology Commission participated in the forum and delivered a speech
Professor and doctoral student at the School of Computer Science and Technology, Fudan University Mentor Zhang Qi, director of the Chinese Information Society of China, brought a report titled "AI Empowers All Industries, Large Models Help Digital Intelligence Upgrades in Industries". Based on sorting out the existing language model technology routes, he analyzed new research directions and methods. Make a summary and introduce how large language models can help the digital intelligence upgrade of the industry.
Zhang Shaoting, Vice President of SenseTime, shared the theme of "Creating a New Paradigm for Future Medical Scenarios Based on AI Large Models". He pointed out that by utilizing large-scale data across modalities, cross-centers, and cross-diseases, the problems currently faced by medical artificial intelligence can be overcome, such as high labeling costs, low knowledge transfer capabilities, and difficulty in covering rare diseases. The medical multi-modal basic model has been used in practical applications to empower medical image analysis, clinical decision-making assistance, patient medical services and other medical scenarios, greatly improving doctors' clinical diagnosis efficiency, optimizing patients' medical experience, and creating a future medical environment. A new blueprint for
## Sheng Zhichao, deputy director of iFlytek AI Research Institute, brought the report "Practical Exploration of Spark Cognitive Large Model Empowering Education", focusing on iFlytek's AI Research Institute The innovative application of the Feixinghuo cognitive large model in multiple scenarios such as composition correction, oral dialogue, teacher preparation, interactive supplementary learning, and mental health companionship discusses the basic requirements to be followed in the application of large model technology in the education industry, and looks forward to Large models empower the education industry with broad prospects for digital intelligence upgrading. Productization is the only way to implement large models. Guo Jiangliang, Vice President of Innovation Qizhi Technology, brought the report "Large Models Help New Industrialization: Reconstructing Industrial Productivity and Production Relationships" and shared AIGC application products for industrial robots, enterprise private domain data analysis, and enterprise private domain knowledge bases. And interpret its solutions to implement and empower the industry in multiple fields such as factory logistics, intelligent manufacturing BI, and intelligent manufacturing training. Large-scale model technology is changing the financial industry at a speed and depth beyond expectations. Chen Hong, head of large-scale model algorithms of Ant Financial’s technology department, brought a report titled “What kind of large-scale models are needed in the financial industry?” He introduced that Ant Group is developing reliable financial artificial intelligence and has launched a product portfolio of 1 2 (Including Ant Financial large-scale models, Zhi Xiaobao 2.0 and Zhi Xiaozhu series), and shared his understanding of the boundaries and crossing boundaries of large modelsThe roundtable session was hosted by Liu Jiangxian, chief strategy officer of Daguan Data, Zhang Qi, professor and doctoral supervisor of the School of Computer Science and Technology of Fudan University, director of the Chinese Information Society of China, Du Xiawei, general manager of Sugon Intelligent Computing Product Department, founder of Real Intelligence Sun Linjun, CEO, Lanma Technology founder and CEO Zhou Jian, and Liu Jingguo, investment research partner of Shanghai Artificial Intelligence Industry Fund, each started from their own perspectives and focused on "the potential and technological breakthroughs of AI Agent in processing complex language understanding and generation tasks" "Opportunities and strategies for enterprises on the scenario side and technology side to promote the implementation of large models and AI Agents" and "Generative AI industry investment strategies" and other topics shared key experiences in integrating multiple AI technologies such as agents to achieve human-machine collaboration. The technological breakthroughs, innovative applications and strategic layout of AI Agent are discussed.
With the theme of "Intelligent Innovation Empowers Digital Transformation of Industries", the Digital Intelligence Shanghai 2023 Summit will bring 1 main forum, 5 parallel forums on "Digital Intelligence" and a series of major releases. More than 100 people Big names from government, industry, academia and research gathered together to discuss the in-depth integration and innovative development of digital intelligence technology and industry. The summit was simultaneously broadcast live through multiple platforms such as our video account, Cailianshe App, Bilibili, Migu, Himalaya, Douyin, etc., and more than two million people watched the live broadcast online. More than 40 media partners including Xinhua News Agency, People's Daily, China Business News, and Liberation Daily attended the conference.
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