Interactive tutorials for scientists who want to use AI in research: core concepts, large language models in biology, and LLM agents. Content is written in Markdown and Jupyter notebooks and published with MyST.
Repository: github.com/Future-House/tutorial-series
After deployment, the site is served with GitHub Pages (path /tutorial-series in CI). Open:
https://future-house.github.io/tutorial-series/
If the URL differs (fork, custom domain), check Settings → Pages for the live address.
Colab opens notebooks from this repo using the .ipynb paths below (replace main if you use another default branch):
| Notebook | Open in Colab |
|---|---|
| LLMs for biology | Colab |
| UniProt example | Colab |
| Agent implementation | Colab |
The published site also includes Colab links in the header navigation (myst.yml).
Requires Python 3.11+ (same as CI).
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install mystmd jupyter-book
myst build --htmlOutput: _build/html/. To match GitHub Pages base path when testing:
BASE_URL=/tutorial-series myst build --html| Path | Contents |
|---|---|
myst.yml |
Project config, table of contents, site theme, Colab nav links |
index.md |
Landing page |
chapter_1/ |
Introduction (background, models, LLMs for biology) |
chapter_2/ |
Applications in biology; interactive notebooks |
chapter_3/ |
LLM agents; agents.md and agent_implementation.ipynb, avairy_agent_implementation.ipynb |
resources/ |
Glossary |
.github/workflows/deploy.yml |
Build and deploy to GitHub Pages on push to main |
Copyright 2026 FutureHouse. See repository settings for license terms if applicable.