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Concerning the application of [[Neural Networks|neural network]] training, in particular [[NNUE #Training|NNUE training]] with millions of [[Chess Position|chess position]] inside a huge file of [[Forsyth-Edwards Notation|FEN]] records,
Lucas Braesch proposed the idea to [https://en.wikipedia.org/wiki/Data_compression compress] a chess position by a sequence of [[#PEXT|PEXT]] instructions,
while the decompression is done by an sequence of corresponding [[#PDEP|PDEP]] instructions <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76892&start=3 Re: FEN compression] by lucasart, [[CCC]], March 17, 2021 » [[Forsyth-Edwards Notation]], [[NNUE #Training|NNUE Training]]</ref>.
This is intended as possible alternative of the [https://en.wikipedia.org/wiki/Huffman_coding Huffman coding] as applied in the [[Gary Linscott#PyTorch NNUE|PyTorch NNUE]] code by [[Gary Linscott]] <ref>[https://github.com/glinscott/nnue-pytorch/blob/master/lib/nnue_training_data_formats.h#L6405 nnue-pytorch/nnue_training_data_formats.h at master · glinscott/nnue-pytorch · GitHub]</ref>.
