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    Training

    Training is the process of building an artificial intelligence (AI) model from scratch by feeding it data to learn from and monitoring its progress.

    What Is Training?

    Training is the core way an AI solution learns and evolves. When training an AI, developers typically input large amounts of data related to a specific task. The AI uses embedded parameters to analyze the data and serve up results. Teams then assess the results to ensure accuracy and adjust the model’s parameters to optimize future outputs. AI trains by contextualizing information, finding patterns, and making associations or relationships across data. This can happen in a supervised setting, in which human experts take a hands-on role in ensuring the correct outputs, or an unsupervised setting in which the model learns by finding patterns on its own. Because AI are trained on data sets, it’s crucial to ensure all inputted data is consistent, clean, and accurate. Training differs from fine-tuning in that it involves building the essential foundations of an AI solution, rather than tweaking an existing model.

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