Hier auf Discord:https://github.com/chrisbutner/ChessCoach
ChessCoach is a neural network-based chess engine capable of natural-language commentary. It plays chess with a rating of approximately 3450 Elo, which means it should usually beat even the strongest human players at 2850 Elo, and many other engines, but will often lose to the strongest, such as Stockfish 14 at 3550 Elo.
As with all engines, ChessCoach relies on examining millions of chess positions to decide on the best move to play. It uses a large, slow neural network just like AlphaZero or Leela Chess Zero (Lc0) to evaluate each position, unlike classical engines which aim for speed with a much simpler evaluation, or more recent NNUE engines, which are a stronger hybrid of both styles.
The neural network at the core of the engine is trained by playing against itself, using a feedback cycle to start from almost zero knowledge – just the rules of chess – and learn new ways to beat itself as it grows stronger. Stronger neural network evaluations let it search better, and stronger search results let it train its neural network evaluation more effectively.
ChessCoach can also feed its chess knowledge into an additional neural network to comment on moves and positions in English. It is not very insightful and often wrong but shows some promise for the limited data it has been able to train on.
Hier noch einige Informationen:https://discord.com/channels/425419482568196106/456135840012173313/890874080176259082