Amjad Masad(@amasad)
Just deployed a new chess engine; we're closing in on an estimated 1200 Elo. The goal is to get it...
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TL;DR · AI 摘要
Amjad Masad团队开发了一个基于微调LLM的国际象棋引擎，当前Elo约1200，目标突破2000，且不依赖传统引擎辅助。
核心要点
- 使用2M Stockfish标记数据微调小型LLM，结合GRPO RL训练提升性能
- 约束条件：禁止使用传统棋类引擎辅助，仅允许微调LLM
- 当前Elo 1200，目标2000+，验证LLM在特定任务的潜力
结构提纲
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思维导图
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- LLM国际象棋引擎开发
- 技术方案
- Stockfish数据微调
- GRPO RL训练
- 约束条件
- 禁止传统引擎辅助
- 小型LLM限制
- 性能指标
- 当前1200 Elo
- 目标2000+
金句 / Highlights
值得收藏与分享的关键句。
使用2M Stockfish标记位置进行微调，结合短GRPO RL训练显著提升性能
在禁止传统引擎辅助的约束下，LLM仍能实现1200 Elo的突破性表现
当前模型已超越部分前沿模型，但突破2000 Elo仍需解决关键约束问题
#LLM#国际象棋引擎#微调#GRPO RL#AI对弈
打开原文Amjad Masad on X: "Just deployed a new chess engine; we're closing in on an estimated 1200 Elo. The goal is to get it to 2000+, while keeping the constraints: 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." / X
@amasad
Just deployed a new chess engine; we're closing in on an estimated 1200 Elo. The goal is to get it to 2000+, while keeping the constraints: 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.
Jul 17
If you want to play my chess engine (WIP):
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.
6:39 PM · Jul 25, 2026
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