Skip to main content
About me

石仁达 Renda Shi

Duke University MMS
North Carolina State University FM/CS

Research Interest

AI-Driven Decision Support Systems/ AI and Society

专利

An Intelligent Question-Answering Algorithm Based on Vector Database CN202410462708.2

Follow me

2022 / Current

Development leader of CBIT

Spearheaded research in LLM training methodologies, employing the innovative Hybrid Training approach combined with a reward model mechanism to enhance precision and real-time application of language models.
Utilized Hyperledger Fabric to write and deploy smart contracts for a Jewelry Supply Chain Financing Platform, significantly contributing to the reduction of financing costs by leveraging blockchain technology for enhanced automation and transparency.
2021 / Current

Instructor : IBA6002 Python: Programming with a Purpose

After establishing a solid foundation, the course will progress to advanced AI-related topics, such as LLM RAG (Retrieval-Augmented Generation) and GPT Prompt Techniques. This will equip you with crucial knowledge to adapt to the latest technological environment.
  • Foundational Programming: Gain proficiency in using variables, conditionals, loops, and advance to intermediate topics such as keyword parameters, list comprehensions, lambda expressions, and class inheritance.
  • Data Munging: Learn to handle messy data, including managing inconsistent date formats and string formatting issues.
  • Data Visualization: Explore data visualization techniques using Python libraries like matplotlib and seaborn.
  • Object-Oriented Programming: Understand object-oriented programming to organize your code into reusable and modular components, making it easier to understand, maintain, and extend.

我的AI项目作品

All are now online and in the testing phase
C
G
I
X