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Killer developer tools for machine learning
Practical AI: Machine Learning, Data Science, LLM
How to Capture System Metrics
The library collects lots of, you know, system metrics and other metrics as it runs kind of similar to TensorBoard, but we collect a lot more stuff. We capture not just the commit shot, but also a diff against the latest commit shot. So that way, every time your model trains, there's a snapshot of exactly the state of the code. You can do all this without really making a dent into a modern machine's storage.
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