With cloudinit and the hetzner API it's fully automated for us! 😀
@jeremyphoward
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Stop Fabricating AI Stories for Outrage Engagement
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please stop making up shit that didn't happen to get outrage clicks
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Building Intuition Through Targeted ML Experiments Over Sweeps
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For training experiments I try to avoid sweeps of all kinds. Instead I aim to build a strong intuition by running targeted experiments one at a time.
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Python FastAI Framework for GPU-Accelerated Machine Learning
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Oh I just use python/fastai. This can help too: https://
fastgpu.fast.ai -
Security Script for New Machine Provisioning
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I wrote a script which sets up security and stuff for newly provisioned machines if anyone is interested:
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Foundational Skills: Lifetime Investment in Learning
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OTOH it's foundational skills you learn just once, and can then re-use for the rest of your life. I put in the time to learn them 30 years ago, and it's still paying off every day today. 🙂
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Think Python book resource for learning programming
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And this book too https://
allendowney.github.io/ThinkPython/ -
Fast.ai Course Platform Built Entirely on Jupyter Notebooks
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And the whole of http://
course.fast.ai is notebooks. -
Graph Breaks in AI Training: Python Runtime Considerations
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Graph breaks are a fact of life, and that's fine. You can't really expect your entire end to end training to never touch the python runtime. It doesn't mean that you should try to somehow reinvent Python compilation from scratch however.