At present, with the rapid development of artificial intelligence technology, large models have become a new direction for the development of artificial intelligence. At the same time, it also brings new thinking and challenges to the demand and training of AI talents in the new era. Make new thinking on the needs of AI talents, and innovate the AI talent training model to adapt to the challenges and opportunities of the era of large-scale models.
The theme of this WAVE SUMMIT education sub-forum is "industry-education integration and talent co-education", based on cutting-edge technology and industry development trends, aiming at the development of AI talents in the new era, and inviting well-known experts in the academic circle to focus on large-scale model technology, science and education integration, and industry development. Discussions on educational collaboration and educating people. Experts and scholars from well-known universities across the country gathered together to share the research results and practical experience of large-scale model technology, integration of science and education, and school-enterprise cooperation.
Opportunities and Challenges Faced by Education in the Era of Universal Large-scale Models
Dang Jianwu
Professor of Tianjin University, Researcher of Pengcheng Laboratory
The emergence of general-purpose large-scale models has brought artificial intelligence into society and people's lives, and has aroused huge repercussions in the education industry. How the education industry faces the opportunities and challenges brought by artificial intelligence has also attracted the attention of the whole society. This report discusses several different routes formed in the process of implementing AI large models in the education industry: ecology priority, technology priority, and technology and ecology grafting. But to model educational data effectively, the educational process must be well understood. In addition, the emergence of the general model has also caused some negative effects in campus education. We need to face its challenges, embrace the arrival of general-purpose large models in the field of education just as we embraced the arrival of computers, the Internet, and smartphones, and effectively and fully grasp the opportunities brought by artificial intelligence.
Five Paths of Big Language Model Empowering Education
Jiao Jianli
Director of Future Education Research Center, South China Normal University, doctoral supervisor
The rapid development of artificial intelligence has the potential of "industrial revolution every day, Renaissance every night". Using artificial intelligence to transform learning, innovate teaching, and empower education is a major global topic of the times. However, how should artificial intelligence be used to boost the construction of teachers and how to use artificial intelligence to empower education? Combining specific examples and applications, this speech explains the five types of generative AI-enabled education from private learning consultants, AI assistants for teaching and research, joint teaching, adaptive learning, and automation of learning, teaching, and education-related businesses. path.
The construction of a collaborative innovation center
empowers the cultivation of regional large-scale talents
Zhu Guobin
Deputy Dean of School of Information and Software Engineering, University of Electronic Science and Technology of China
At present, the combination of large language models and education has become a hot spot, which puts forward new requirements for scientific research practice, education and teaching, and personnel training in colleges and universities. This report is based on summarizing the progress and achievements of the early exploration of the education innovation center jointly built by the University of Electronic Science and Technology of China and Baidu Flying Paddle, focusing on the current large-scale model development and educational hotspots, and discussing how the Innovation Center 2.0 can empower the regional large-scale model of the integration of production and education A new path for talent cultivation.
Flying Paddle-Based AI Facilitates the Practice of Industry-Education Integration of Medical Interdisciplinary Disciplines
Tian Boxue
Researcher and doctoral supervisor of Tsinghua University School of Pharmacy
This report will introduce the emerging discipline of artificial intelligence drug development, and how to use AI technology to solve the difficulties and challenges in drug development. In addition, the report will introduce the practical application and successful cases of Baidu Flying Paddle deep learning platform in the field of drug research and development, highlighting its advantages in education and teaching of this subject. Finally, we will discuss how artificial intelligence can help the integration of production and education in the interdisciplinary field of pharmacy. Through discussion, we expect to provide new perspectives and directions for the development of drug research and development, and further promote the rapid development and application of pharmaceutical interdisciplinary subjects.
Big model reshaping AI talent training
Qian Fang
Head of Ecological Operations of Baidu Flying Paddle Education
At present, the large language models represented by ChatGPT and Wenxin Yiyan have made artificial intelligence technology more widely used, and at the same time have had a structural impact on educational reform and AI talent training. Starting from the perspective of the enterprise, this report analyzes the industrial transformation and the demand for talents in the new era, releases the talent training plan for the integration of production and education in Wenxin, and cooperates with universities to build a large-scale demonstration base for the integration of production and education, and to carry out the joint construction of large-scale education models and talent training. , education reform and other in-depth cooperation.
For a long time, Baidu Flying Paddle has provided teachers and students in colleges and universities with rich and diverse resource support from the three levels of teaching resources, tools and platforms, and support and services, focusing on learning, practice, and employment. Aiming at the popular large-scale model field, we are also continuing to create relevant courses and content construction. Since 2018, it has continued to hold joint training sessions for artificial intelligence teachers with industry associations and regional top universities every year. Up to now, it has trained more than 5,200 AI professional teachers. At the same time, 484 colleges and universities have set up credit courses based on AI Studio, Baidu's artificial intelligence learning and training community, and more than 160,000 AI students have been trained in credit courses.
In the future, facing the new demands and challenges of the large-scale model era, Baidu Flying Paddle will accelerate the filling of the AI talent gap. It will continue to invest in AI talents, promote the deep integration and innovation of production and education, and look forward to injecting new vitality into the development of the domestic artificial intelligence field. ,new momentum.
Agenda
