Harness Optimization is an interactive Hugging Face Space that repeatedly rewrites the harness surrounding a fixed model and measures score changes on the Legal Agent Benchmark. It is intended for researchers and developers evaluating agent improvements without changing model weights.
In the Agent evaluation & testing space, Harness Optimization takes a focused approach. It focuses on improving an AI agent harness and benchmark performance without retraining the underlying model. Harness Optimization is a B2B product aimed at AI researchers and agent developers. Harness Optimization costs nothing to use. Harness Optimization is available on the web, and it can be self-hosted.
It is developed by joelniklaus. Among its 5 catalogued features are automated harness rewriting, fixed model evaluation, and benchmark scoring.
Summary written by a language model from the project’s public pages.
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