horse_dung

3 ms·

1.
by horse_dung 3y ago
This is so true. If you just want the data then use a different store (e.g. NoSQL) and everything will be quicker, lighter weight and slower to develop…
2.
by horse_dung 3y ago
OTG means the BeagleBoard can act as a device (like a keyboard, pendrive, etc) when connected to something else which is the host.
3.
by horse_dung 3y ago
Database audit tool and they needed test what happens when an excessive number of tables is hit??? :)
4.
by horse_dung 3y ago
I would agree with scale orders of magnitude higher than you can possibly imagine. But once you know what your scaling limits are (and there are always are limits) and what the (pre)failure behaviour looks like… we’ll you don’t have to f
5.
by horse_dung 3y ago
I just finished writing a “dumb stuff with containers” internal blog which included: C:\> type somefile.txt | docker run --rm -i ubuntu awk ‘something’ > output.txt
6.
by horse_dung 3y ago
4-22 is my favourite… hahaha
7.
by horse_dung 3y ago
The API layer receives fairly regular updates, but the model is (as I understand it) mostly static. Within GPT there is an intentional randomness element called temperature which is how you get different answers each time. I could copy thei
8.
by horse_dung 4y ago
In almost all cases very quickly. A LLM doesn’t have the ability to perform calculations but instead it feeds text tokens from the prompt into a model which predicts what the next tokens should be. It can’t do basic maths but based on every
9.
by horse_dung 5y ago
The price will stop going up…