The Future of Evals: From LLM as a Judge to Agent as a Judge — Aparna Dhinakaran, Arize AI
Evals must evolve with agents: from static checks to LLM judges, the future requires Agent as a Judge for adaptive dynamic analysis.
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Evals must evolve with agents: from static checks to LLM judges, the future requires Agent as a Judge for adaptive dynamic analysis.
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Responsible project development requires automating all quality gates—from static analysis (Clang-Tidy) to advanced testing like fuzzing and mutation testing. Aim for 'completed,' not 'abandoned.'
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