Agent evaluation
Agent evaluation is the systematic measurement of how well AI agents (LLM-based systems that plan and act over multiple steps using tools) perform on real-world tasks, using benchmarks, metrics, and testing…
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Agent evaluation is the systematic measurement of how well AI agents (LLM-based systems that plan and act over multiple steps using tools) perform on real-world tasks, using benchmarks, metrics, and testing…
Harness, in artificial intelligence, is the software scaffolding that wraps a machine learning model, most often a large language model
SkillEvaluator is an open-source command-line framework developed by NVIDIA for evaluating artifacts used by AI agents.
Terminal-Bench is an open benchmark for evaluating AI agents on complex, real-world tasks performed through command-line terminal interfaces.
WebArena is a realistic, self-hosted web environment and benchmark designed for developing and evaluating autonomous AI agents that perform tasks on the web.
WebVoyager is an end-to-end web agent and its companion benchmark, introduced by Hongliang He and seven coauthors in a paper accepted to ACL 2024 .