Innovations in Evaluating AI Agent Performance
The hard part of building AI agents is knowing whether your modifications improved or degraded their ability to perform their tasks. The only way to know is to measure their success against real-world examples. Enter gym scenarios: model replicas of common UX patterns and computer-use actions that validate modifications to QA Wolf AI.
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Host / Producer at QA Wolf
Staff Engineering Lead at QA Wolf
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