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a commercial chess entity by [[ChessBase]] featuring a set of custom made [[Neural Networks|neural network]] weights that work in the open source project [[Leela Chess Zero]] within its [[Leela Chess Zero#Lc0|Lc0]] executable. Initially announced introduced as a cloud project in August 2019, inspired by [[DeepMind|DeepMind's]] ground breaking [[AlphaZero]] approach combining [[Deep Learning|Deep learning]] with [[Monte-Carlo Tree Search]] (MCTS) <ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815]</ref>,further motivated by and [[Albert Silver|Albert Silver's]] [[Deus X]] experience, relaxing the Leela Chess' "Zero" paradigm of pure [[Reinforcement Learning|reinforcement learning]] due to [[Supervised Kearning|supervised learning]], Fat Fritz was released in November 2019 as part the [[Fritz|Fritz 17]] package,