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Turn raw training logs into live, meaningful visuals from a Linux shell: this guide standardizes metrics to CSV/JSONL, gives distro-friendly installs, and offers ready-to-run snippets for gnuplot terminal plots, TensorBoard/MLflow dashboards, and matplotlib figures—accelerating feedback loops, boosting reproducibility, and bridging dev and ops on headless servers.