Episode 50: A Field Guide to Rapidly Improving AI Products -- With Hamel Husain
Vanishing Gradients
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Navigating AI Product Evaluation
This chapter explores the methodical approach to developing AI products, emphasizing the significance of building a minimum viable evaluation framework alongside a minimum viable product. It covers the iterative processes of error analysis and the complexities of evaluating AI systems, particularly focusing on the balance between immediate fixes and strategic evaluations. The discussion highlights the importance of understanding user expectations, experimentation, and maintaining high standards for evaluations, as crucial steps in refining AI capabilities.
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