Before you can start building your AI structure, you need to understand how your AI figures out right and wrong answers—and that is through training. When you understand how AI makes guesses, you can start to develop a structure that supports an efficient and effective model.

AI doesn't learn the same way humans do. It must be given specific information and told what that information is, and how it is connected to other information. Because of this, the data that is provided to the system for training has a significant impact on how the AI model will function.

The resource below explains what training data is and how it functions within an AI model.

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