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Why Your AI Product Needs Evals with Hamel Husain and Swyx
High Agency: The Podcast for AI Builders
Data Intuition is Key to Machine Learning Success
Kaggle exemplifies the necessity of evaluation in machine learning workflows, highlighting how failure to perform evaluations leads to stagnation. Developing intuition for machine learning involves understanding stochastic systems, which contrasts with deterministic programming where outcomes are predictable. Many beginners mistakenly view data analysis as unnecessary and too manual, failing to recognize its critical role. Emphasizing the importance of actively engaging with data, including the evaluation process, is essential for progress in AI projects.
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