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The Chess Transformer: Mastering Play Using Generative Language Models by Діма Пулик is a document available to read on EtoBox.

What is The Chess Transformer: Mastering Play Using Generative Language Models about?

This document summarizes research on training a large language model (GPT-2) to play chess by feeding it a dataset of over 2.8 million chess games in Portable Game Notation format. After training the model for 30,000 steps, it was able to generate plausible chess strategies and openings when playing sample games. The researchers also created an interface for humans to play against the model in real time, with the model correctly filtering illegal moves.

Author

Діма Пулик

Language

EN