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Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face
- Jupyter AI is a JupyterLab extension for generative AI that works seamlessly in different environments like Google Colaboratory and Visual Studio Code.
- Setting up Jupyter AI involves creating a new environment, ensuring the latest versions of JupyterLab, and installing the Jupyter AI extension.
- Jupyter AI supports model providers like Hugging Face and Ollama, offering a variety of models to work with.
- While Jupyter AI integrates with Hugging Face models directly, Ollama provides a more reliable way to load models locally.
- Ollama supports downloading and running pre-trained models locally, ensuring flexibility and ease of model usage.
- You can also load custom models in Ollama by creating a Model File or directly use Hugging Face Hub models through Ollama.
- Configuring Jupyter AI with a local model via Ollama involves selecting the provider and model ID in the Jupyter AI chat interface.
- The AI coding assistant enables tasks like code autocompletion, debugging help, and code generation from scratch within JupyterLab.
- Interact with the AI assistant through the chat sidebar or notebook cells using %%ai magic commands for various coding tasks.
- Using a local model offers benefits like privacy, reduced latency, and decreased dependence on proprietary model providers with comparable performance.
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