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David Qiu Jupyter AI: Bringing Generative AI to Jupyter | JupyterCon 2023
Explore the possibilities of generative AI in Jupyter with Jupyter AI, a project providing a unified interface for multiple language models, empowering users with debug code, code insights, and more, available as an open-source project.
- Jupyter AI is a project that brings generative AI to Jupyter, allowing users to interact with language models in a conversational way.
- Jupyter AI provides a unified interface for multiple language models, making it possible to compare and switch between different models.
- The project aims to be vendor-agnostic, meaning it does not lock users into a specific language model or provider.
- Jupyter AI needs to be user-driven, collaborative, and human-centered, with a focus on providing a seamless and intuitive interface.
- The project uses retrieval augmented generation, a process where a model searches for relevant data and generates a response based on that data.
- Jupyter AI can be used to debug code, provide code insights, and refactor code, making it a powerful tool for developers.
- The project is designed to be extendable, with a plugin architecture that allows users to add new functionality and integrations.
- Jupyter AI is currently being used to develop Jupyter AI itself, and is also being used to index upstream documentation.
- The project is still in development and is expected to evolve over time, with new features and functionality being added in the future.
- Jupyter AI is available as an open-source project on GitHub, and users can install it as an extension to JupyterLab.
- The project’s goals are to make Jupyter AI a general interface for multiple language models, to make it easy to use and integrate with other tools, and to make it a powerful tool for developers.