Data Science Wire

How to evaluate AI agents, avoid reward hacking, and build better specs

Arize AI Blog1mo4 min read

Agent evals are repeatable tests that score whether AI agents completed a task correctly. Learn how to design rubrics, test suites, and trace-based evals that catch failures and prevent reward hacking. The post How to evaluate AI agents, avoid reward hacking, and build better specs appeared first on Arize AI .

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