AI Interest Group

Who we are

The AI Interest Group is a dynamic collaboration of master’s and doctoral students, colleagues, and researchers from various universities and institutions.

 

We convene bi-weekly to present and discuss the latest developments and applications in AI technology, with a steadfast focus on practicality and implementation.

 

We make all presentation recordings, slides, and programming codes available to foster a culture of openness and knowledge-sharing.

AI Interest Group Talks

Learn AI with us on Youtube

A Gentle Introduction to Genetic Algorithms with Python and DEAP

Ruopeng An

TBD

TBD

TBD

TBD

Reinforcement Learning with Gym & Stable Baselines

Ruopeng An

Introduction to Evolutionary Algorithms

Zach Wen

Use of Advanced RAG to Improve Fact-Checking Ability of Large Language Model

Jingyi Huang

Mastering Image Segmentation with Meta's SAM (Segment Everything Model)

Ruopeng An

Ground Large Language Models with RAG for Information Searching and Question-Answering

Ruopeng An

LLM-powered Topic Modeling

Charles Alba

Harnessing the Power of GPTs for Personal Tutoring

Yuyi Yang

Parameter Efficient Fine Tuning Methods

Charles Alba

Segment Anything Model (SAM)

Xi Wang

Image Annotation and Labeling Using CVAT

Shanshan Wang

Automated Data Labeling for AI Model Building

Chen Chen

Intro to Metaflow: Simplify Your Data Science Workflows

Fan Yang

A Brief Introduction to AI Causal Inference

Ruopeng An

Revolutionizing Conversational Language AI Training: Unveiling DeepSpeed Chat's Advanced RHLF

Binyan Cai

How to Ingest and Query Your Own Data to LLMs Using LlamaIndex

Charles Alba

Transforming Programming Paradigms: Introducing OpenAI’s Code Interpreter (Advanced Data Analyst)

Peiqi Guo

Pinecone: The Powerhouse in High Dimensional Search and Information Retrieval

FNU Shambhavi

HuggingGPT: The Power of Pre Trained Language Models for NLP Tasks

Binyuan Cai

Getting Started with Gradio Building Intuitive Interface for Machine Learning Models

Anqi Zhao

Exploring the Visionary Art Creative Potential of DALL E2 with Prompt Engineering

Xiaoxin Wang

Unleashing the Full Potential of AI Language Models with Prompt Engineering

Fan Yang

Our Leadership

Ruopeng An

Founder/Lead

Yuyi Yang

Co-lead

Our Members

Ben Leach

Brown school, WashU

Bob Cormier

Missouri Department of Mental Health

Chang Jindong

School of Physical Education, Southwest University

Charles Alba

DCDS, WashU

Chen Chen

Brown school, WashU

Chenyu Wang

Brown school, WashU

Fan Yang

Dongbei University of Finance and Economics

Fnu Shambhavi

Brown school, WashU

Hanran Ji

China CDC

Duo Ren

Brown school, WashU

Jason Wang

Brown school, WashU

Jeremy Lu

Undergrad, WashU

Jianxiu Liu

Department of Physical education, Tsinghua University

Jing Shen

Department of Physical Education, China University of Geosciences (Beijing)

Kakada Kuy

Brown school, WashU

Kan Zhang

Shanghai Children’s Medical Center Social Work Department

Mengmeng Ji

Department of Surgery, WashU School of Medicine

Michael Gao

Computer Science and Math major, WashU

Pablo Ramón Zubeldia

Biomedical Informatics & Data Science, DBBS, WashU

Paul Liu

McKelvey School of Engineering, WashU

Peggy Jones

Pasco County Schools

Peiqi Guo

WUSTL Engineering School Server Institute Alumni

Shanshan Wang

Department of Population & Community Health
School of Public Health

Sridharan

Brown school, WashU

Tongyang Wang

Arts & Sciences, WashU

Xi Wang

Brown school, WashU

Xiaoxin Wang

Department of Physical Education, Tsinghua University

Yinghu Zhang

Brown school, WashU

Zeen Yin

Brown school, WashU

Zichao Wen

OBGYN, WashU

Ziyun Meng

Brown school, WashU

Yu-Ku Huang

Brown school, WashU

Giovanni Liotta

Olin Business School, WashU

Qiping Fan

College of Behavioral, Social and Health Sciences, Clemson University

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