Course
LLMs for Social Science
Five modules from embeddings to agentic workflows. Built for early-career social scientists; all notebooks run in Google Colab.
Open access
Everything we make is open.
Course materials, summer school archives, research code, and models. All openly licensed and freely available — no registration required.
Summer School
Workshop Archives
Lecture slides, Jupyter notebooks, and seminars from the 2023 and 2024 summer schools. Covers transformers, evaluation, fine-tuning, and agents.
Research
Code & Models
Replication code and pre-trained models from our research on synthetic data generation and model evaluation. Weights hosted on Hugging Face.
Prerequisites
Python for Social Scientists
Introductory notebooks covering the Python and data-science basics required to follow the main course. No prior programming experience assumed.
Open notebooks →Oxford LLMs on Hugging Face
All released models, datasets, and evaluation benchmarks in one place — ready to download and use in your own research.
Browse the org →