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Notebook experiments to model assets

← Learning Atlas · Path 17 of 22

5 ordered steps, from Jupyter to LM Studio.

Notebook environmentsHostinginfrastructuredatabasesLocal models and inference

  1. Step 1: Jupyter

    Jupyter starts the path because notebooks are the common workspace for exploratory code, data checks, and model experiments.

  2. Step 2: Google Colab

    Colab follows because it gives the same notebook pattern hosted compute and easy sharing.

  3. Step 3: Hugging Face

    Hugging Face belongs after hosted notebooks because learners often move from experiments to finding or publishing model assets there.

  4. Step 4: GGUF

    GGUF matters once a model asset is selected, especially if the learner wants a local runnable artifact rather than only a hosted demo.

  5. Step 5: LM Studio

    LM Studio closes the path by giving the downloaded model file a desktop environment for testing and serving locally.