Meet Jupyter AI: A New Open-Source Project that brings Generative Artificial Intelligence to Jupyter Notebooks
Jupyter AI integrates generative AI into Jupyter notebooks, enabling code generation, error fixing, and content summarization. It supports multiple LLM providers.
#JupyterAI #GenerativeAI #ProjectJupyter #JupyterNoteBook #OpenSource #ArtificialIntelligence #Programming
🎉 I've just made my first contribution to #JupyterAI by adding support for Google #Gemini Pro. Can't wait for it to be available for everyone to use! This will make it much easier to do programming in #geospatial 🌏🤩
https://github.com/jupyterlab/jupyter-ai/pull/666
My coworker Piyush and I gave a talk about #JupyterAI at #AWSReInvent. Thanks all for coming!
I give you my second lesson on using #JupyterAI, the extension that brings the power of language models to #Jupyter… I explain how to use it for retrieval-augmented generation with your local documents. What do you think?
#AI #LLM #OpenAI #EngineersCode
https://go.gwu.edu/engcomp7lesson2
I wrote a thing! A little lesson on using #JupyterAI for my students and colleagues, and my peeps everywhere.
https://go.gwu.edu/engcomp7lesson1
#Jupyter #OpenAI #EngineersCode
Dive into the future of #AI with Jupyter AI!
The open-source Project Jupyter, used by millions for #datascience & #machinelearning, has released #JupyterAI - a free tool bringing powerful generative AI capabilities to Jupyter notebooks.
Find out more on #InfoQ: https://bit.ly/3P3R5gP
Version 2.1.0 of #JupyterAI just launched, and for the first time, most of its new features came from the community outside AWS. Very grateful to the open source devs who are helping to improve our code.
Are you going to #AWSReInvent this fall? If so, join my teammate Piyush Jain and me for a session about #JupyterAI, bringing the power of #GenerativeAI to #JupyterNotebook applications.
https://hub.reinvent.awsevents.com/attendee-portal/catalog/?search=opn203
#JupyterAI brings generative artificial intelligence to Jupyter notebooks (Jupyter Notebook, JupyterLab, VSCode, GoogleColab), giving users the power to explain and generate code, fix errors, summarize content, ask questions about their local files, and generate entire notebooks from a natural language prompt. https://github.com/jupyterlab/jupyter-ai
My teammates, David Qiu and Piyush Jain, presented #JupyterAI at #JupyterCon earlier this year. Check out our work!
https://youtu.be/bbj_oDh81hY?si=Ty5gH6d0pp0PyCkl
My teammate David Qiu gave a great talk at PyData Seattle about #JupyterAI, our open source project to add large language models to #Jupyter notebooks. https://youtu.be/T0rzH_KslKQ
Using Jupyter AI's "/learn" command, I created a vector database using the source code of my book, "Personal Finance for People in Tech". I can then use the /ask command to ask questions of my book, using a mixture of the local database and the remote gpt-3.5-turbo model. This is a really neat way to get insight from text.
