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What are best practices for Reproducibility in AI Research

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When working with Reproducibility in AI Research, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example A research team shares their code and dataset publicly so other researchers can reproduce their reported results.

Common follow-ups: What is AI Research & Academic Foundations, How is Reproducibility in AI Research evaluated in practice, What tools are commonly used for Reproducibility in AI Research