Hosted by the AI4Legislation Team of SVCAF

We are excited to invite all teams and individuals—especially those who have submitted a Letter of Intention for the 2025 AI4Legislation competition—to join us for an insightful seminar focused on AI programming and data analysis.

Whether you are a high school student, college student, or an AI-curious innovator, this session will help you understand how to integrate large language models into meaningful civic tech and policy analysis projects.

🗓 Event Details

Registration Required: After registering, you will receive a confirmation email with details on how to join the Zoom session.

Mr. Liang Guo

AI programming and data analysis expert, with a strong background in large language model (LLM) applications, public datasets, and real-world data workflows.

📚 Tentative Agenda

  • What Programming Paradigm Do Large Language Models Address?

  • Limitations of LLMs Compared to Traditional Programming Paradigms

  • Choosing the Right LLM Model for the Right Problem

  • Where to Find High-Quality Public and Government Datasets

  • Using LLMs for Data Collection

  • Using LLMs for Data Presentation

  • Q&A Session

🎯 Who Should Attend?

  • Individuals or teams who submitted a Letter of Intention for the AI4Legislation competition

  • High school and college students interested in AI, data science, or civic tech

  • New participants considering submitting a project to the competition

  • Anyone curious about using AI to solve public policy challenges

💡 The session will be recorded and made available to the public later.

We look forward to seeing you there!