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Investing in AI Infrastructure
This chapter discusses the critical need for robust infrastructure and tooling in the development of AI products, particularly for non-deterministic solutions. It emphasizes adapting traditional software practices to meet the unique challenges of AI, including structured testing and data-driven decision-making. The chapter also highlights five essential rules for effective AI evaluations and the importance of leveraging internal data to enhance model performance.