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It's done in xet as a replacement for git lfs: https://huggingface.co/blog/from-files-to-chunks

It runs a model with 260K params, so hardly a "Large" LM. Nevertheless, a cool project.

I might be mistaken, but I think this is partly because of the undirected structure of RBMs, so you can't build a computational graph in the same way as with feed-forward networks.…

Nice and clean explanation! It brings up a lot of memories! Shameless plug: I made a visualization of an RBM being trained years ago: https://www.youtube.com/watch?v=lKAy_NONg3g

This doesn't make motion capture obsolete: 1) Mocap can be applied to rigged characters and 2) mocap can animate full-body rigs not just facial expressions.

use larger machine learning models in the browser