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Audacity adds AI audio editing capabilities thanks to free Intel OpenVINO plugins
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this post was submitted on 13 Feb 2024
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AI models are often multiple gigabytes, tbh it's a good sign that it's not "AI" marketing bullshit (less of a risk with open source projects anyway). I'm pretty wary of "AI" audio software that's only a few megabytes.
Tensorflowlite models are tiny, but they're potentially as much an audio revolution as synthetizer were in the 70s. It's hard to tell if that's what we're looking at here.
Why are they that big? Is it more than code? How could you get to gigabytes of code?
Currently, AI means Artificial Neural Network (ANN). That's only one specific approach. What ANN boils down to is one huge system of equations.
The file stores the parameters of these equations. It's what's called a matrix in math. A parameter is simply a number by which something is multiplied. Colloquially, such a file of parameters is called an AI model.
2 GB is probably an AI model with 1 billion parameters with 16 bit precision. Precision is how many digits you have. The more digits you have, the more precise you can give a value.
When people talk about training an AI, they mean finding the right parameters, so that the equations compute the right thing. The bigger the model, the smarter it can be.
Does that answer the question? It's probably missing a lot.
They're composed of many big matrices, which scale quadratically in size. A 32x32 matrix is 4x the size of a 16x16 matrix.
The current wave of AI is around Large Language Models or LLMs. These are basically the result of a metric fuckton of calculation results generated from running a load of input data in, in different ways. Given these are often the result of things like text, pictures or audio that have been distilled down into numbers, you can imagine we're talking a lot of data.
(This is massively simplified, by someone who doesn't entirely understand it themselves)