jupyter-ai and generative-ai
These are complements: Jupyter AI provides the interactive IDE extension for building generative AI applications, while Dell's example notebooks demonstrate how to deploy those workloads on Dell infrastructure.
About jupyter-ai
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
This tool helps data scientists, researchers, and analysts working in JupyterLab collaborate with generative AI agents. You can chat directly with models like Claude or Gemini within your notebook environment, providing context through files or notebook cells. The AI agents can then assist by running commands, reading/writing files, and interacting with your notebooks, offering a streamlined workflow for data exploration and code development.
About generative-ai
dell-examples/generative-ai
This repository contains example notebooks and other helpful resources for generative AI workloads running on Dell infrastructure both on prem or in the public cloud. Resources in this repository are for demo purposes only.
This repository provides practical examples and resources for anyone looking to understand and implement generative AI technologies on Dell infrastructure. It helps you see how different generative AI applications can be set up and run, showing you what goes into these systems and what kind of outputs you can expect. This is for AI practitioners, data scientists, or IT professionals exploring generative AI solutions.
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