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A Twitter thread discussing two distinct evaluation suites needed for general AI agents: a lightweight benchmark eval for quick iteration and a comprehensive test coverage eval for thorough validation across diverse user paths.
The article discusses the challenges of debugging and evaluating LLM judges using Arize Phoenix, which traces evaluator runs via OpenTelemetry to inspect decision logic, costs, and potential biases.