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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: Robotics introduction and application in agriculture (Completed)

  • Read more about Seminar: Robotics introduction and application in agriculture (Completed)

Topic: Robotics introduction and application in agriculture
Time: Dec 15, 2024, Sunday 8:30-9:30PM Eastern Time (US and Canada)
Speaker: Prof. Lirong Xiang (NC State University), Zhenghua Zhang (NC State University)

RTAI 与 北卡州立大学刘教授合作推出大语言模型(LLM)快速入门课

为了满足大家对大语言模型Agent(代理/智能体),RAG(检索增强生成),Tools box(工具包)以及模型Fine-tuning微调技术的需求, Research Triangle AI Society (RTAI) 特邀北卡州立大学 Professor Paul Liu 给大家两天从零基础入门到精通的强化训练。

内容:
Day-1: Using LLMs via APIs and Locally

  • Read more about RTAI 与 北卡州立大学刘教授合作推出大语言模型(LLM)快速入门课
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RTAI 项目快报 11/11/24

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 11/10 晚上进行了又一轮培训讲座:微调图像小模型 – A digital pathology case study。讲座由郭跃龙博士主讲。讲座主要讨论了使用少量数据微调视觉模型,并提出了一个很好的问题:大模型微调真的可以 one size fit all 吗?

项目三:AI辅助编程之会员管理
项目安排于 11/6 召开了一次工作会议,由李文治现场开发了一项新功能 - 创建和管理项目。整个开发过程非常流畅。本项目下一次活动将是 11/17 的公开讲座,演示使用 Cursor 和 Aider (一个开源 AI 辅助编程工具)开发新功能。所有人都可以参加。

项目四:AI辅助编程之手机应用
谢谢郭跃龙博士主动请缨。他将负责项目四的推动。

项目二:大模型操纵机器人
项目暂停

谢谢大家的关注!

news
  • Read more about RTAI 项目快报 11/11/24
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Seminar: 如何用 AI 编写大型软件?(Completed)

  • Read more about Seminar: 如何用 AI 编写大型软件?(Completed)

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。

news
  • Read more about RTAI 项目快报 11/4/24
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Seminar: How to fine tune LLMs? (Completed)

  • Read more about Seminar: How to fine tune LLMs? (Completed)

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)

  • Read more about Seminar: Getting Started with Prompt Engineering / 提示工程 (Completed)

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)

  • Read more about Seminar: An Open Talk About AI Application in Everyday Life (Completed)

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.

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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: Yu Yang (Ph.D., PE, PMP)

Yu Yang (Ph.D., PE, PMP) had worked as a water engineer for about 10 years. Currently he is working full time as a data scientist. His primary interests include web development, machine learning, AIGC, and large language model (LLM). His representative side projects are as follows.

  1. Chrome extension: Engineer Unit Converter
  2. AIGC related Book: Poems from Tang Dynasty Meet AI
Member: Guoliang Cao
Guoliang Cao

Guoliang Cao was born in Hunan and graduated from Tsinghua University and the Institute of Computing Technology of the Chinese Academy of Sciences. Later, he came to the United States, where he has been working in computer software development for a long time. Since AlphaGo’s remarkable debut in 2016, when it defeated Go world champion Lee Sedol, Guoliang has focused on and studied Artificial Intelligence technologies, with research areas including Deep Learning, LLM and AI-assisted programming.

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