Compared to previous artificial intelligence, the generative AI that has sparked worldwide discussion has demonstrated a certain level of creativity and imagination. Although there is still a gap compared to humans, AI’s “thinking” is already enough to surprise people, and it continues to evolve at an incredible speed.
In the past, we might have thought that writing academic papers is a highly specialized task that requires a solid academic foundation and rich research experience, while artificial intelligence could only handle simple data analysis and pattern recognition tasks. However, with the rapid development of artificial intelligence, AI has been able to mimic human language habits and thinking patterns, performing complex text generation and creation.
For example, the beginning of writing a paper usually involves brainstorming and completing the paper’s framework, a step that can sometimes take a lot of time and energy for the writer. Conversely, for ChatGPT, the same task only takes a few seconds:
Similarly, ChatGPT can also be applied to a series of tasks such as information retrieval, creative inspiration, writing translation, image generation, data analysis, publishing results, and even project proposals. Some pioneers have not only integrated AI into scientific research practices but also applied it to teaching and daily life, greatly improving work efficiency and unleashing more research potential. However, due to the rapid pace of AI development, new technologies and tools are emerging endlessly, making it challenging for ordinary people to quickly understand and master AI tools. They often lack systematic learning and practical opportunities, as well as efficient and in-depth learning pathways. The highly fragmented AI knowledge available online does not allow for a systematic understanding of the causes, consequences, and application logic of this human technological revolution. This is why, although many people have come into contact with AI, they have only stopped at simple applications and failed to fully leverage its potential.
In order to help a wide range of researchers keep pace with technological developments, embrace AI technology, and conduct research more effectively, improving the quality and impact of academic results, we are particularly honored to inviteProfessor Yu, who has rich academic experience and profound accomplishments in the field of artificial intelligence, to bring you a five-day online course—“ChatGPT Research Skills Enhancement and Practical Application Training Camp”. This training camp will use a teaching model of “theoretical explanation, practical demonstration, student hands-on practice, and long-term Q&A”, guiding everyone to quickly get started with AI in an easy-to-understand language, customizing their own GPTs, and quickly mastering the core skills of GPT-4o, making AI technology a powerful assistant on your research path. Please refer to the following notice for details:
01Target Audience● Researchers and managers of research institutions, including but not limited to university teachers, master’s and doctoral students, administrative staff of research institutions, technical personnel, engineers, etc.;● Others interested in ChatGPT4, GPTs, GPT-4o, and AI enthusiasts.02Training Time and MethodTime:September 25-29, 2024 (specific time and content arrangements can be found in the training content below)Training Method:Online live broadcast + Q&A + long-term replayTraining Participation Address:Public account of Mugexuemei03InstructorProfessor Yu, Associate Professor, Master’s Supervisor, primarily engaged in research and system development in artificial intelligence, health care big data analysis, etc., with rich practical application experience. He has hosted multiple national and provincial research projects, participated in writing bestselling books such as “30 Case Analyses of MATLAB Intelligent Algorithms” and “43 Case Analyses of MATLAB Neural Networks,” published multiple high-level international academic research papers, applied for more than 10 invention patents, and obtained more than 20 computer software copyrights. Proficient in various programming languages such as Python, MATLAB, C#, Java, and mainstream deep learning frameworks like Pytorch, Tensorflow, Keras. He has taught over a hundred courses on Python and MATLAB programming, machine learning, and deep learning, which have been well received by students and enterprises for their practicality and fun, with thousands of students enrolled.04Training Content
05OrganizerThis seminar is organized by the academic research field’s leading WeChat public account “Mugexuemei.” For many years, Mugexuemei has been dedicated to serving millions of researchers and scientists, successfully hosting a series of thematic seminars aimed at helping scientific workers improve their funding application and research writing skills, including National Natural Science Foundation application seminars, National Social Science Foundation application seminars, Ministry of Education project application training workshops, applications of AI technology in teaching resources, SCI scientific paper writing workshops, questionnaire surveys and data analysis training camps, and has received unanimous praise from participants.06Course Value-Added Benefits● A large number of Prompt templates;● Long-term Q&A support provided for the course;● The course ensures students can learn without barriers, for details consult teaching assistant Mugexuemei (WeChat: mugexuemei);07Participation FeeRegular participation fee2200 yuan/person, early bird discount of 1980 yuan/person for registration before September 25;Discount Plan:For group registration, please contact teaching assistant Mugexuemei for specific quotes.08Registration MethodClick the mini-program page below to purchase, and after purchasing please be sure to add the teaching assistant to obtain materials and learning links.09Invoice and Subscription Notes1) This training provides ordinary VAT invoices (electronic invoices) and participation invitations.Invoice unit: Xi’an Mugexuemei Network Technology Co., Ltd.;Invoice category: training fees, conference registration fees, consulting fees, etc.;If you need an invoice, please consult customer service in detail (WeChat: mugexuemei).2) This seminar is an online live broadcast, please carefully consider whether to register. Payment is considered participation and is non-refundable or transferable.