Whether you choose a prelabeled dataset, a custom dataset or a synthetic dataset, you want to ensure you're getting the right data. The first step of the AI lifecycle is all about choosing the right training data. ![]() It's essentially like purchasing an expensive car with an incredibly powerful motor without any access to a fuel source." This stage must include humans to ensure accuracy.Īs a recent ODSC article notes: "Without data and specifically, high-quality data, your AI investment is useless. You must continuously evaluate and update your model, ensuring there's no bias and that you're getting accurate results.
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