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Reply to comment by yazriel0 in [R] RWKV-4 7B release: an attention-free RNN language model matching GPT-J performance (14B training in progress) by bo_peng
Efficiently updatable neural network
>An efficiently updatable neural network (NNUE, a Japanese wordplay on Nue, sometimes stylised as ƎUИИ) is a neural network-based evaluation function whose inputs are piece-square tables, or variants thereof like the king-piece-square table. NNUE is used primarily for the leaf nodes of the alpha–beta tree. While being slower than handcrafted evaluation functions, NNUE does not suffer from the 'blindness beyond the current move' problem. NNUE was invented by Yu Nasu and introduced to computer shogi in 2018.
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