Thursday, February 13
2:30 — 5:00 p.m.
Amy Gutmann Hall | 3333 Chestnut Street, Philadelphia, PA 19104
Join us at Amy Gutmann Hall for an engaging kick-off workshop as part of the Women in Data Science (WiDS) @ Penn Conference.
“Data to Discovery: Exploring AI with a Patent Case Study, ChatGPT, and Generative Models,” will be led by Linda Zhao, Professor of Statistics and Data Science, and Xinyu Xie, PhD Student, both from the University of Pennsylvania. The session will be moderated by Lynn Wu, Associate Professor of Operations, Information and Decisions at the Wharton School.
Please note that tours and the workshop are available on a first-come, first-served basis.
Workshop “From Data to Discovery: Exploring AI with a Patent Case Study, ChatGPT, and Generative Models”: 2:30 – 4:30 p.m.
In today’s data-driven landscape, vast unstructured data sources—such as documents, texts, and electronic health records (EHRs)—demand advanced AI tools to unlock their full potential. Generative AI, powered by Large Language Models (LLMs), is becoming indispensable for processing and extracting insights from complex language-based data. Applications like patent evaluation or transforming healthcare through EHR analysis are just a few examples of how AI is reshaping industries.
This interactive workshop, centered on a patent approval case study, will introduce students to the full pipeline of solving real-world problems using AI and data science. Participants will explore:
- How to identify key problems that lend themselves to AI-driven solutions.
- Collecting and preparing data, building models, and running state-of-the-art algorithms.
- Validating models and interpreting their results.
While the workshop will include live demonstrations using RMarkdown, students will have the opportunity to interact with tools like ChatGPT and HuggingFace, a platform hosting thousands of pre-trained Transformer models. Due to package limitations, certain code segments will be demonstrated, but key concepts and steps will be clearly explained.
The workshop will provide a deep dive into how LLMs evolved from basic concepts such as regression (understanding how weights and coefficients are estimated) to Neural Networks (NN), and finally to powerful Transformer-based models like those found on HuggingFace. By the end of the session, students will have a solid understanding of how modern AI technologies—like ChatGPT and Transformers—help tackle large, unstructured datasets for applications such as patent approvals, EHR analysis, and beyond.
*All attendees should bring a laptop or device.
Guided Tour: 4:30 – 5:00 p.m.
Completed in 2024, Amy Gutmann Hall serves as a hub for cross-disciplinary collaborations that harness research and data across Penn’s 12 schools and numerous academic centers. Join us for a guided tour to explore how Amy Gutmann Hall is shaping the future of education and discovery.