This repository contains the code and slides for our workshop on data collection and inference with Large Language Models. The materials on this page are CC-BY-4.0 licensed.
More information & sign-up can be found on the website here.
- No previous experience with LLMs is required
- Participants should be able to understand and write
Rorpythoncode - In python we will use
langchain, in R we will useellmerto interact with LLMs
| Time | Title | Required resource |
|---|---|---|
| 09:30 | LLM fundamentals for Social Sciences | slides |
| 10:15 | Coffee break | Coffee is provided! |
| 10:30 | Data collection with LLMs | python, R |
| 12:00 | Break | Lunch is provided! |
| 12:45 | Inference with LLM-collected data | python, R |
| 13:45 | Conclusion & Q&A |
Methods and software for inference with measurement error correction: sodascience/social_science_inferences_with_llms.
This project is developed and maintained by the ODISSEI Social Data Science (SoDa) team.
Do you have questions, suggestions, or remarks? File an issue or feel free to contact Qixiang Fang or Erik-Jan van Kesteren.