local machine learning

Shows how to build and run AI entirely offline on Linux. Covers selecting lightweight local models, installing dependencies without internet, and running inference with CLI tools, Python, and containers. Includes practical, step‑by‑step demos, GPU/CPU tips, caching and dataset handling, and scripts for automation—emphasizing privacy, reproducibility, and robust air‑gapped workflows.

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