One way would be to generate a new model for every request. Currently we create an entire universe for each step when training if we predetermined what needed to be created it could be much smaller.
One way would be to generate a new model for every request. Currently we create an entire universe for each step when training if we predetermined what needed to be created it could be much smaller.
I stumbled upon this neural net compressor by Bellard that beats gzip on compression benchmarks
https://bellard.org/nncp/