Seminar: Apply Machine Learning and Deep Learning in Financial Markets (Completed)
Topic: Apply Machine Learning and Deep Learning in Financial Markets
Time: Sunday, Feb 9, 2025 8:30PM (EST)
Speaker: Thomas Li (Math Ph.D.)
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.
Topic: Apply Machine Learning and Deep Learning in Financial Markets
Time: Sunday, Feb 9, 2025 8:30PM (EST)
Speaker: Thomas Li (Math Ph.D.)
Time: Feb 8, 2025, Saturday 9:30-11:00AM
Location: Panther Creek High School
Room 2606
6770 McCrimmon Pkwy, Cary, NC 27519
Speaker: Guoliang Cao
Time: 2/2/2025, Sunday, 8:00PM
Slides: download
Topic: Enhance Reasoning of Large Language Models through Prompt Engineering
Time: 1/24/2025, Friday, 12:00PM
Topic: Exploring Llama 3.2: Harnessing the Power of Multimodal AI
Time: Jan 12, 2025 08:30 PM Eastern Time (US and Canada)
Topic: Discover the Latest in AI – New LLM Features, Programming Tools, and More!
Time: Dec 29, 2024 08:30 PM Eastern Time (US and Canada)
Speaker: Guoliang Cao
The presentation pdf is here: download.
今天,12月7日,RTAI 与北卡州立大学刘教授合作举办了第一场 “From Novice to Expert: LLM Workshop”。在三个小时的时间里,刘教授深入浅出地为大家讲解了大语言模型的基础知识,以及如何通过 Google Colab 调用 OpenAI API、如何让大模型使用工具以及如何在本地运行大模型等实用技能。
本次 Workshop 吸引了近二十位参与者,他们通过面对面或远程方式共同学习与交流,取得了圆满成功。这是一个为期三周的系列活动,接下来的两场 Workshop 将分别于 12月14日 和 12月21日 举行,刘教授将继续为大家带来更多关于大语言模型的深入讲解与实践。
感谢刘教授为大家提供了如此宝贵的学习机会,也感谢所有参与者的热情支持!我们期待接下来的课程会更加精彩!
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)
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
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!
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.
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