mehanik

6 ms·

1.
by mehanik 4y ago
It might be possible to use ChatGPT model itself to calculate probability (perplexity) of a given text according to the model.
2.
by mehanik 4y ago
Pipelines as code is the way to go, no matter whether it is CI/CD, data or ML. It’s unfortunate that a lot of pipeline tools use YAML. Glad to see projects like Dagger that use Python instead. However it is not clear for me what is the
3.
by mehanik 4y ago
Free Joplin with end-to-end encryption and many useful plugins is hard to beat. The mobile apps are not very polished but work reliably.
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by mehanik 5y ago
Faster Python with static types and type inference.
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by mehanik 5y ago
Books, always having several books available on my Kindle so I can grab it and continue reading instead of consuming social media on my phone. I read 3-4 books at once and don't put pressure on myself to continue reading or finish any
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by mehanik 5y ago
We tried to use Postgres with TimescaleDB plugin for high frequency data several TB in size. It was unusable. Switched to Clickhouse, which was roughly 50-100 faster on the same hardware and 10 times less disk space. They use very different
7.
by mehanik 5y ago
Agree, I have been using it for years. It has a nice, non-browser based client on all platforms including Linux.
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by mehanik 5y ago
I met guys like you, skillful and hardworking software engineers who deliver results but are unable to build positive relations with management. Without it there is not enough trust for promotion, investment. The fastest way to learn this i
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by mehanik 5y ago
Perhaps EU should own software companies developing open-source software that each country can adapt to its needs. It is common with state-owned energy and water utilities. Why not software?
10.
by mehanik 5y ago
There are plenty of ML applications in industries like farming, energy, transportation, construction etc. ML is one of the tools along with others like mathematical programming and simulations that allow for more optimal use of resources su