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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.

Seminar: 如何用 AI 编写大型软件?(Completed)

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Topic: 如何用 AI 编写大型软件?
Time: Nov 17, 2024 08:30 PM Eastern Time (US and Canada)
Speaker: Guoliang Cao

RTAI 项目快报 11/4/24

以下是各项目的最新进展

项目一:基于大模型的聊天机器人
项目五:Llama3.2 识别图形图表
两项目安排于 11/3 晚上进行了一轮培训讲座:如何微调大语言模型。讲座由 NC State University 的刘教授主讲。讲座非常成功,受到了大家的一致称赞。刘教授从大语言模型入门知识一直讲到相关的高级内容,如大模型的微调、RAG,图形数据的微调等等。把几乎是一个学期的内容压缩到了一个小时,体现了他对相关知识的深刻理解和高超的概括能力。讲座中给我印象最深的是刘教授把基础模型比做婴儿,从小学到高中为预训练阶段,把大学比做针对某个专业的微调过程,把参与工作后使用的工具和材料比做RAG。这一比喻可谓画龙点睛。这次讲座的内容非常精彩,我们已经把它上传到了 YouTube,方便错过这次讲座的朋友去观看学习。

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Seminar: How to fine tune LLMs? (Completed)

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Topic: 怎样微调大语言模型 How to fine tune LLMs?

Time: Nov 3, 2024, Sunday 8:00-9:00PM Eastern Time (US and Canada)

Speaker: Prof. Paul Liu (NC State University)

Seminar: Getting Started with Prompt Engineering / 提示工程 (Completed)

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Topic: Getting Started with Prompt Engineering: A Beginner's Guide and Live Demo
Time: Oct 20, 2024, Sunday 8:00PM-9:00PM Eastern Time (US and Canada)
Speaker: Damson Li
The presentation pdf is here: download.

RTAI 项目快报 10/21/24

以下是各项目的最新进展

项目一:基于大模型的聊天机器人
项目五:Llama3.2 识别图形图表
项目一和五本周安排了第二次培训,内容是提示工程 (Prompt Engineering) 。

项目三:AI辅助编程之会员管理
项目组发布了开发流程文档,并于 10/17 晚上开会,帮助成员完成开发环境设置,并使用 Cursor 遵照文档中的流程完成了应用程序基础功能开发。已经有开发人员在自己电脑上安装使用 Cursor 开发一项新功能。

项目二:大模型操纵机器人
我们仍在物色硬件方面的负责人。如果有新消息我们会尽快通知大家。

项目四:AI辅助编程之手机应用
项目暂停,我们计划等项目三接近完成时再启动项目四。不过如果有对 iPhone 应用开发和 AI 辅助编程有一定经验的朋友愿意加入领导本项目,我们也可以尽快启动。

另外特别提醒已经报名参加各个项目的朋友,不要放过这次学习的好机会。这些项目让我们既可以近距离观察学习人工智能专家解决实际问题的全过程,也可以自己动手、边干边学。大家如果有任何问题和建议,都可以在各自的群里提出。

谢谢大家的关注!

  • Read more about RTAI 项目快报 10/21/24
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RACL 中文学校讲座:人工智能与 ChatGPT (Completed)

  • Read more about RACL 中文学校讲座:人工智能与 ChatGPT (Completed)

欢迎大家参加一场精彩的人工智能入门讲座!在本次讲座中,我们将探讨人工智能与大语言模型‬‭(LLM)的核心概念,并展示这些前沿技术如何应用于我们的日常生活。不仅如此,我们还将分‬享如何巧妙地利用 ChatGPT 来提升效率、激发创意、解决问题,甚至优化工作流程。这是一次了解未来科技的绝佳机会,无论你是 AI 爱好者还是对其抱有好奇心,都将收获满满!期待与大家‬一同开启这场 AI 探索之旅。

Speaker: Guoliang Cao
Host: Raleigh Academy of Chinese Language (RACL)

讲座内容:

Seminar: An Open Talk About AI Application in Everyday Life (Completed)

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Topic: An Open Talk About AI Application in Everyday Life
Time: Oct 18, 2024, Friday 9:30PM-10:30PM Eastern Time (US and Canada)
Speaker: Jeff G. Du (Ph.D)

The presentation pdf is here: download.

RTAI 项目快报 10/14/24

以下是各项目的最新进展

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RTAI 项目快报 10/7/24

目前大部分项目已经确定负责人和协调人,正在进入设计和实现阶段。

项目一:基于大模型的聊天机器人
负责人:Damson,李文治
协调人:包菜

项目二:大模型操纵机器人
负责人:?(硬件),村民(软件)
协调人:待定

项目三:AI辅助编程之会员管理
负责人:村民
协调人:李赫南

项目四:AI辅助编程之手机应用
负责人:待定
协调人:Junqin

项目五:Llama3.2 识别图形图表
负责人:Eric,Paul Liu

项目二和四还需要高手加盟。尤其是机器人项目是我们计划长期支持的一个项目,还需要对硬件有一定经验的朋友来共同主持。欢迎对二和四感兴趣的朋友和我联系。谢谢!

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Project Guidelines

RTAI 项目指南

  1. 任何参与 RTAI 项目的人都被视为已同意此项目指南。
  2. 项目团队由 1-2 名负责人、1-2 名协调员和若干名成员组成,所有成员协作完成项目目标。
  3. 负责人负责监督项目目标和设计,做出关键决策,并在需要时召集或主持会议。
  4. 协调员负责组织会议、跟踪项目进展、管理财务并处理日常行政事务。
  5. 成员负责完成项目任务,积极参与讨论,通过协作获得宝贵的实践经验。
  6. 参与者可以自荐或推荐他人担任负责人或协调员等,选举可根据团队偏好进行匿名或公开投票。
  7. 所有参与者均为无偿工作,但经批准的自付费用将予以报销。
  8. 项目成本(包括自付费用)由所有参与者平摊,项目结束时,任何剩余资金将平等退还给仍在参与项目的成员。
  9. 后期加入的参与者需支付与早期加入者相同的费用,未能支付费用的成员将被移除项目。
  10. 参与者可以随时自愿退出项目,或通过多数投票被移出,已支付的费用将不予退还。

 

下面是一些关于项目运行的建议:

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Member: Jeff Du

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. 

Member: Prof. Alice Cheng (NCSU)

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.

Teaching and Research Interests

Artificial Intelligence (AI) and Public Relations, Quantitative Methods, Crisis Communication, Relationship Management

Member: Chong Ding

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.

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