Automatic-Prompt-Optimization-with-Chess
Benchmark Repository for Automatic Prompt Optimization (APO) with Chess
This repository contains code and data for the paper Benchmarking Prompt Optimization of Large Language Models With Chess. A frozen LLM is given a chess position (FEN, side to move, legal moves) and must return the reference move. An optimizer improves the prompt's instructions and/or demonstrations; the model weights never change.
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