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Running AI is so expensive that Amazon will probably charge you to use Alexa in future, says outgoing exec
(www.businessinsider.com)
this post was submitted on 25 Sep 2023
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"AI" doesn't use databases per se, they are trained models built from large amounts of training data.
Some models run fine on small devices (like the model running on phones to make better pictures) but others are huge like Open AI's LLM.
Wouldn't that data be stored in some kind of database?
The training data isn't stored in the model. You can take an existing model and fine tune it on a whole bunch of additional data and the model size won't change.
No, the data will influence the model.
Some of the data may be found in the model itself (i.e. the AI generated images outputting mangled author signatures from the original works that were used during training) but not in the traditional form of a database. You can't directly retrieve that data back in its original form even if some models can be coerced to do something similar.
It's basically a statistical model built from training data.
The training of these huge models also cost a fortune. Allegedly in the millions of $ in a data and processing-intensive process.
The other answers are a bit confusing...
Yes, that's in a database.
However, you can think of it like a large library of books on how to best tune a ukulele. There might be a lot of information to figure out how to tone the ukulele and a lot of skill to put all that knowledge to use, but the ukulele once tuned, is quite small and portable.