Casual chess observers got an AI coach on popular websites that helped them follow the master's moves better, and this enhanced the chess-watching experience and, more importantly, helped amateurs appreciate master moves even more. While only a few players had access to chess coaches in the early '90s, everyone young and old now had access to a powerful, creative, unbeatable chess master in their pocket.Ĭhess moved online and, with the age of streaming, became more popular than ever. Instead, what came next was a chess boom.Ĭhess engines had graduated from toys to world beaters to powerful coaches in human chess masters' match preparations in just a couple of decades. The age of chess as an age-old human creative endeavor seemed to be at an end. Soon, with the inevitability of Moore's law, it became obvious that chess programs residing on mobile phones were better than human world champs. However, people remained skeptical after all, it took a giant server room of hardware to beat the world champion. Chess, which was supposedly the creative domain of humans, was suddenly overtaken by machines. Trained on human games on and more engine games.This changed with the famous Deep Blue-Garry Kasparov match in 1997.512-neuron NNUE trained on 50 million positions on depth 4.Faster Movegen: heavily inspired by Surge.Stronger Neural Network (depth 8, 500 epoch) featuring 8 buckets.Stronger Neural Network trained on 2GB of data.The secondary net in the nets/ folder is smaller, faster, and trained purely on Avalanche 1.3.1 self-play games. The data is generated through self-play games and the default net is trained over the BM 4.0 net. NNUE is trained with a private, significantly modified fork of.The Hand-Crafted Evaluation is based on, however it is no longer Avalanche's main evaluation.However many ideas and parameters are tuned manually and automatically using my own scripts. Some ideas are borrowed from other chess engines as in comments.
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