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Taming randomness in ML models with hypothesis testing and marimo
- kailashdas 2y ago[flagged]
- qefduzh 2y ago[flagged]
- overbytecode 2y agoOne of those points is not like the other, Marimo’s feature to deploy a notebook as WASM is a very nice feature imo.
- aduffy 2y ago- Brand new burner account - upset about “AI slop” (the image is clearly not AI) - mentions tech buzzwords that annoy you - claiming the article is not as rigorous as an academic paper Perhaps I’m just old school. But I miss the HN where the best way to get upvotes was to be insightful and not to send low-effort snarky replies
- smrtinsert 2y agoClearly marked as unsplash
- amarcheschi 2y agoi - luckily - passed my statistics exam this summer, it's however cool to visualize what's happening
- axpy906 2y agoGood post. I’ve been thinking about doing offline testing of LLM tasks a bit these days and have come to the conclusion that old school testing is the best until more mature features can be developed. Specifically, I mean running a power analysis to determine sample size, random sampling based on that and then running tests like a z test to see if there is a difference and between what bounds. Tests are expensive and I wish there was a better way for realizable offline evals.