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The Concept of Tokenization in Machine Learning
The approach we usually do in machine learning when we deal with images and we do this quantization step is a bit more data driven so rather than have some sort of Fourier basis for how you know frequencies appear in natural. We actually just use the statistics of the images and then quantize them based on the statistics much like you doing words right? So common substrings are located a token an image is very similar but there's no connection the token space if you think of all like the tokens are an integer and in the end of the day that makes it orthogonal. The model will need to predict the tokens from the text green field to then the pixels and that will start making the