Fat Fritz

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Fat Fritz, a commercial chess entity by ChessBase featuring a set of custom made neural network weights that work in the open source project Leela Chess Zero within its Lc0 executable. Initially introduced as a cloud project in August 2019, inspired by DeepMind's ground breaking AlphaZero approach combining Deep learning with Monte-Carlo Tree Search (MCTS) , and Albert Silver's Deus X experience, relaxing Leela Chess' "Zero" paradigm of pure reinforcement learning due to supervised learning, Fat Fritz was released in November 2019 as part the Fritz 17 package, best supported by a GPU card such as Nvidia GeForce 20 series. The project and its underlying techniques were emphasized by a talk of AlphaZero co-author Thore Graepel at ChessBase, attended by German computer chess icon Thomas Nitsche along with his sons and Math42 authors Raphael Nitsche and Maxim Nitsche. Fat Fritz was further supported by Daniel Uranga.

=Lc0 and Fat Fritz Diagrams= Lc0 and DeusX aka Fat Fritz components

=See also=
 * AlphaZero
 * Deus X
 * Fritz
 * Leela Chess Zero

=Forum Posts=

2019

 * 'Deus X' Unveiled as FAT FRITZ PROJECT... by supersharp77, CCC, August 13, 2019
 * Match between SF 10 and Fat Fritz by Steppenwolf, CCC, August 26, 2019
 * Chessbase's Albert Silver on LC0 & Fat Fritz	by supersharp77, CCC, August 26, 2019
 * "Fat fritz" stronger than Stockfish ? by Mehdi Amini, CCC, September 24, 2019
 * UCI Win/Draw/Loss reporting by Gian-Carlo Pascutto, CCC, October 22, 2019
 * Fritz 17 by sainzlei, CCC, October 25, 2019
 * Nice review fo Fat Fritz by Jouni Uski, CCC, November 22, 2019 » Review

2020

 * Fat Fritz update by Nordlandia, CCC, March 05, 2020

=External Links=

2019

 * Fat Fritz – What on Earth is that? by Albert Silver, ChessBase News, August 13, 2019
 * Using Fat Fritz in the Engine Cloud by Nadja Wittmann, ChessBase News, August 15, 2019
 * Analysing your openings repertoire with Fat Fritz, ChessBase News, September 02, 2019
 * GM preparation with Fat Fritz by Frederic Friedel, ChessBase News, September 12, 2019
 * Standing on the shoulders of giants by Albert Silver, ChessBase News, September 18, 2019
 * Fat Fritz analysis: A matter of technique by Albert Silver, ChessBase News, September 24, 2019
 * Fat Fritz: Small differences, big effect by Albert Silver, ChessBase News, October 09, 2019
 * "Fat Fritz seemed to be from an entirely different plane of existence!" by Tanmay Srinath, ChessBase News, November 04, 2019
 * Fat Fritz defeats Stockfish in 100-game matches by Elshan Moradiabadi, ChessBase News, November 06, 2019 » Stockfish
 * Fat Fritz outmatches Stockfish (part 2) by Elshan Moradiabadi, ChessBase News, November 07, 2019
 * Fat Fritz: what videocard to buy by Albert Silver, ChessBase News, November 14, 2019
 * Optimizing Fat Fritz, the top rated engine in the world by Albert Silver, ChessBase News, November 25, 2019
 * Fat Fritz in the cloud by Albert Silver, ChessBase News, November 28, 2019

2020

 * Fat Fritz for the club player by Tanmay Srinath, ChessBase News, January 09, 2020
 * Fat Fritz 1.1 update and a small gift by Albert Silver. ChessBase News, March 05, 2020
 * Out-preparing the Candidates with Fat Fritz (Part 1) by Tanmay Srinath, ChessBase News, March 21, 2020
 * Out-preparing the Candidates with Fat Fritz (Part 2) by Tanmay Srinath, ChessBase News, March 25, 2020
 * Fat Fritz: strong, creative, original by Stephan Oliver Platz, ChessBase News, March 27, 2020

Fritz 17

 * Introducing Fritz 17 with Fat Fritz and other goodies, ChessBase News, November 12, 2019
 * Fat Fritz and Fritz 17: A Review (Part I) by John Hartmann, US Chess, November 17, 2019
 * Fat Fritz and Fritz 17: A Review (Part II) by John Hartmann, US Chess, November 19, 2019
 * Fritz 17 - The giant PC chess program, now with Fat Fritz - ChessBase Shop

Source Code

 * GitHub - DanielUranga/lc0 at uci-wdl-reporting
 * lc0 84 - AppVeyor
 * GitHub - kiudee/bayes-skopt: A fully Bayesian implementation of sequential model-based optimization by Karlson Pfannschmidt

Rating Lists

 * Fat Fritz in CCRL Blitz

=References= Up one Level