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Tag: machine-learning

3 articles

Malware in PyTorch Lightning: I Simulated the Same Supply Chain Attack Vector on My ML Dependencies in Production

The Python ML ecosystem has a structural problem that Node and Rust solved years ago: the transitive dependency chain of a single ML library can exceed 200 entries, most without verifiable cryptographic signatures. I simulated the same vector against my own stack — and what I found is not reassuring

8 min208

Experimentsmachine learningopen source

m2cgen: export your ML model without shipping Python to production

Train in Python, deploy in Java, Go, or whatever you've got. m2cgen converts your scikit-learn models into native code with zero runtime dependencies.

5 min175

Technologymachine learningLLMs

MegaTrain: Training 100B+ Parameter LLMs on a Single GPU (And Why I Had to Close My Laptop)

I saw the title and figured it was clickbait. I sat down, read the paper, and had to get up and walk around. MegaTrain proposes training 100B+ parameter models on a single GPU in full precision. I won't use it tomorrow. But it shifts who can do what — and that matters to me.

9 min418