tatsu-lab/alpaca_eval
An automatic, fast, and cost-effective evaluation framework for instruction-following language models, highly correlated with human judgments.
Core Features
Detailed Introduction
AlpacaEval is an innovative open-source framework designed to automate the evaluation of instruction-following language models. It addresses the challenges of traditional human evaluation, which is often time-consuming, expensive, and difficult to replicate. By leveraging powerful LLMs like GPT-4 as evaluators, AlpacaEval offers a fast, cost-efficient, and highly reliable alternative, boasting a 0.98 Spearman correlation with human judgments from ChatBot Arena. It provides a public leaderboard, an automatic evaluation pipeline, and a comprehensive toolkit for developing and analyzing custom evaluation methods, making it invaluable for rapid LLM development and benchmarking.