ai-notebooks-summer-workshop

This is a collection of Python Jupyter Notebooks to test Large Language Models (LLMs) for Jupyter Notebooks. This repository also contains an examples folder with some examples of notebooks used in Digital Humanities (DH). We recommend using Python 3.12 and Poetry.

List of Ipynb notebooks

• The notebooks/README notebook contains requirements and expectations for the notebooks that will be created during the workshop. For workshop participants: Please use this notebook as a template/guide for your own notebooks.
• A proposed solution to EXPLAIN CODE with CodeLLama
• A proposed solution to EXPLAIN CODE and GENERATE CODE with LLAMA7b
• A proposed solution to EXPLAIN CODE and GENERATE CODE with CodeGemma

Installation

You can run the notebooks using Google Colaboratory or locally using Jupyter Lab. We use Poetry to manage dependencies. To install poetry with pipx:

pipx install poetry

Then install the dependencies:

cd ai-notebooks-summer-workshop
poetry config virtualenvs.in-project true

poetry install

Usage

To run the notebooks using Jupyter Lab, run the following command:

poetry run jupyter lab

llection of python Ipynb Notebooks to test LLMs for Ipynb Notebooks

Navigate to the project directory and install dependencies using Poetry:

cd <your_repo_name>
poetry install

Running JupyterLab

poetry run jupyter lab

This will launch JupyterLab in your web browser, typically at http://localhost:8888/lab. You can now access the Jupyter notebooks and coding environment.

Expected outputs

Please commit your ipynb in the /notebooks folder.