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How the Smartest Companies Use AI | Ankur Goyal, Braintrust

The Peel with Turner Novak

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Evaluate, Adapt, Innovate

Gathering test data is essential for validating AI systems, akin to traditional unit testing and continuous integration in software. However, evaluations (E-Val) cannot yield absolute results; instead, they require detailed analysis to identify what broke or did not function as expected. This iterative process aids in refining and trying new ideas based on insights gained from test failures. The evolving landscape of AI has shifted the main innovators from only ML scientists and data scientists to include product engineers, highlighting a growing trend where non-traditional users, particularly those using TypeScript over Python, are significantly engaging with AI development.

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