项目五:Llama3.2 识别图形图表
测试评估 Llama 3.2 11B 在 Colab 图像图形识别能力,并使用用户图像或图形进行训练
Acceptance criteria:
Welcome to the Research Triangle AI Society (RTAI), a nonprofit organization dedicated to advancing the understanding and application of Artificial Intelligence (AI) within the North Carolina Research Triangle area and beyond.
测试评估 Llama 3.2 11B 在 Colab 图像图形识别能力,并使用用户图像或图形进行训练
Acceptance criteria:
用 AI 辅助编程编写一个 iPhone 应用:使用相机给家用电器或物品照相,调用 Google Image Search API 找出该物品的名称价格等。
用 AI 辅助编程编写一个大型程序:RTAI 会员管理系统,支持注册、登录、讲座报名、缴费等
项目代码将保存在 GitHub。
相关技术:AI 辅助编程、部署
实现一个由大模型控制的、可以听/说/看/移动的机器人。
相关技术:大模型、微调、机器人
目标:希望从头设计实现一个以大模型为基础,针对特定领域问题(RACL中文学校家长和学生)的聊天机器人。
相关技术:大模型、微调、RAG,部署、聊天机器人
2024年9月30日星期一晚7点,北卡三角区人工智能社区群(RTAI)在Cary图书馆成功举办了首次面对面Meetup。活动吸引了20位对人工智能充满热情的专业人士参加,现场气氛热烈,取得了圆满成功。
活动伊始,每位与会者进行了简短的自我介绍。参与者中有大学教授、行业专家、软硬件工程师,以及其他对AI感兴趣的各领域专业人士。大家畅所欲言,分享了各自的背景和对人工智能的见解,为后续的讨论奠定了良好的基础。
随后,群主详细介绍了本群的项目指南和每个项目的具体需求。本次共推出了五个项目,涵盖了大模型微调、机器人、AI辅助编程,以及使用大模型识别图形和表格等领域。每个项目都得到了与会者的积极响应,多人踊跃报名,体现了大家对AI技术探索和实践的热情。
此次Meetup的成功举办,不仅为RTAI成员提供了一个面对面交流的平台,也为未来的合作和项目推进奠定了坚实的基础。与会者纷纷表示,期待下一次的聚会,共同推动北卡三角区人工智能社区的发展与创新。
这是我们组织的第一次面对面会议。一方面方便大家互相认识一下便于以后的合作。另一方面讨论一下 Group projects,并现场报名。这次会议我们预约了两个场地:Oberlin Library(容纳 45 人),Cary Library(容纳 20 人)。如果最后报名人数少于 20人,会议地点将在 Cary Library,否则是在 Oberlin Library。
Topic: Introduction to Image Generation from Text - text2image
Time: Oct 4, 2024, Friday 9:30PM-10:30PM Eastern Time (US and Canada)
Speaker: Yu Yang (Ph.D., PE, PMP)
Host: Research Triangle AI
The presentation pdf is here: download.
Topic: Explore ChatGPT -- Research Triangle AI
Time: Aug 21, 2024, Wednesday 9:00PM-10:00PM Eastern Time (US and Canada)
Speaker: Guoliang Cao
The presentation pdf is here: download.
Agenda
· Introduction
Jeff Du, a graduate from Sun Yat-sen University (中山大学) and Duke, has been working in bioinformatics and biostatistics for several years. Alongside his professional work in NGS data analysis and large scale programming work, he also has strong interest in applying AI techniques to everyday life. On weekends, he likes to spend time on projects involving computer vision and building his own home security system. In his free time, he also enjoys marathon running and participating in triathlons.
Yang “Alice” Cheng (Ph.D., MBA) received a Ph.D. degree from the Missouri School of Journalism, which is one of the oldest formal journalism schools in the world. She also graduated with an outstanding academic award from the nationally recognized Crosby MBA program.
Dr. Cheng is an associate professor in the Department of Communication and an adjunct professor at the Poole College of Management, NCSU. She has taught many courses such as strategic management, research methods, the introduction of public relations, and crisis communication. She has demonstrated a long-term commitment to research involving global public relations management, social media and artificial intelligence, and crisis communication. She has published more than 150 journal articles, conference papers, and book chapters. Some of her publications have appeared in top journals such as The New Media & Society, American Behavioral Scientist, Social Science Computer Review, Computers in Human Behavior, Journal of Public Relations Research, Journal of Product & Brand Management, Telematics and Informatics, Mass Communication & Society, International Journal of Communication, Public Relations Review, and Journal of Contingencies and Crisis Management. Recently, Dr. Cheng was co-editing a book about AI and strategic communication and she has extensively served as a guest speaker or keynote speaker for international institutions such as MIT, Peking University, Zhejiang U, Xiamen U, U of Technology Sydney, and Nanjing Normal U.
Acting as the Principal Investigator (PI) or senior researcher, her research has been funded by many global prestigious institutions ($1,924,049), such as the National Science Foundation (NSF) ($1 million), National Humanities Center (NEH) ($750,000), Arthur Page Center (USA) ($14,000), Caterpiller Foundation ($86,500), North Carolina State University (USA) ($67,249), and the Chinese University of Hong Kong (Hong Kong) ($7,000). Especially, The Arthur Page Johnson Legacy Scholar Grant is awarded to support scholars and professionals making important contributions to knowledge, practice, or public understanding of ethics and responsibility in public communication. The funded study that examines mobile CSR activities in crises has been accepted in the 68th Annual Conference of the International Communication Association (2018) and won the Top Faculty Paper Award.
Her research has been internationally and domestically recognized via various awards, for its originality, quality, and productivity. The received honors and awards included the University Faculty Scholar (2023-2024), Top Faculty Paper (Open competition), Association for Education in Journalism and Mass Communication, 2024; the Best Paper Award, Public Relations Division, International Communication Association Conference, 2013, 2014, and 2018; Top Paper Award in Mass Communication Division in 2014 and 2016, awarded by the International Communication Association Conference; Grunig PRIME Research Fellowship from Institute of Public Relations and PRIME research in 2015; and Peter Debreceny Corporate Award in the 18th International Public Relations Research Conference in 2015. Additionally, She has received the Hong Kong Government Reaching Out Award and the extremely competitive Extraordinary Potential Prize of the 2016 Chinese Government Award.
Due to her expertise in Communication, especially in AI and public relations, she serves on the editorial board of the Journal of Public Relations Research, Public Relations Review, Journal of Contingencies and Crisis Management, and Public Relations Inquiry. Currently, she is the advisory committee member for the International Public Relations Research Conference (IPRRC). She is editing three special issues from prestigious journals such as Internet Research and Public Relations Review.
Artificial Intelligence (AI) and Public Relations, Quantitative Methods, Crisis Communication, Relationship Management
Chong Ding was born in Shenyang, China. After moving to the US in 2003, Chong received a master's degree in electrical engineering from University Missouri-Rolla, as well a MBA from Duke University. Chong is currently working on chip design for compute and AIs.
Chong's interests in AI goes back around 2015, at the time he finished several online courses such as Machine Learning, Udacity Deep Learning NanoDegree. Chong is interested in building applications based on large language models.
Copyright © 2026 Research Triangle AI Society - All rights reserved