# Amjad Masad 部署了一个基于微调LLM的国际象棋引擎，使用GRPO RL训练，目标达到2000+ Elo，目前估计1200 Elo，并提供了教程

- 来源：Amjad Masad
- 发布时间：2026-07-26 02:39
- AIWatch 分数：61
- AIWatch 标记：当日精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kydb1esk23mq1gcsqra8w2gv
- 原文链接：https://x.com/amasad/status/2081086837263937543

## 精选理由

常规快讯，保留列表

## AI 摘要

Amjad Masad 部署了一个基于微调LLM的国际象棋引擎，使用GRPO RL训练，目标达到2000+ Elo，目前估计1200 Elo，并提供了教程。

## 正文

1. One small finetuned LLM (no custom pretraining or architecture)
2. The model has to produce the moves with no chess engine assistance

If you relax these constraints, it gets much easier.

Amjad Masad: If you want to play my chess engine (WIP): https://qwen-chess.replit.app/

It already seems to perform better than frontier models on chess.

It’s fine-tuned on 2M stockfish-labeled positions, then short GRPO RL pass.

Documentation/tutorial with all the experiments and annotated code.