Scalable Eval Approaches
Practical approaches for scaling AI evaluation to keep pace with capability growth, including LLM-as-judge (40% production adoption but theoretically capped at 2x sample efficiency), automated behavioral evals, AI-assisted red teaming, CoT monitoring, and debate-based evaluation achieving 76-88% accuracy.
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