Jake Diamond-Reivich
Jake Diamond Reivich is an Executive Council member of Project Jupyter. He is also the CEO of Mito, an open source company that builds on top of the Jupyter ecosystem. As an Executive Council member, he is elected by the Jupyter community to help steward Project Jupyter through the new age of AI tooling. One of his focuses is sharing Jupyter AI with the larger open source developer and researc community.
Sessions
Project Jupyter is a critical widely-used platform for data analysis. The Jupyter AI project integrates AI into the Jupyter stack in an intuitive and extensible way, built on industry standards. We are also experimenting with new ways of interacting with AI in a notebook and providing users with ways to easily customize the AI experience. We will share recent updates and future plans, then want to hear from you about your needs and your workflows that could benefit from AI.
Jupyter AI is a Project Jupyter package, allowing developers and scientists to build AI experiences for the notebook format.
This talk will be presented by Jake Diamond-Reivich, one of elected members of the Jupyter Executive Council.
The interactive notebook is a format that most AI tools (ChatGPT, Claude, etc.) struggle to interact with. Jupyter AI provides an open source tool box for end users, universities, research organizations, and enterprises to build their own AI system that operate within notebooks. This includes chatbots, agents, GUIs, and more. A key addition to Jupyter AI is the ability to create custom AI personas that collaborate with humans inside a notebook.
The sciences are vastly underserved by the AI tooling being built for data analysis. Since the scientific community has always been at the hear of Project Jupyter, a lot of the AI advancements for Jupyter are being worked on by scientists and are being directed at scientific workflows.
AI’s ability to work well in notebooks is imperative to the future of scientific research and data science, impacting 10s of millions of notebook users worldwide.
We’ll cover how users can access this open source tool kit, and the work that contributors from companies like AWS, Apple, and more are doing to maintain this tool kit.
Talk agenda:
Introduction to Jupyter AI, and how to use it in for scientific research
Examples: universities, research organizations and enterprises building with Jupyter AI (and what they’ve built)
How to contribute to Jupyter AI