Gather relevant data sets and preprocess them to ensure quality and compatibility for training AI models.
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Gather relevant data sets and preprocess them to ensure quality and compatibility for training AI models.
Train AI models using the prepared data, validating their accuracy and effectiveness in understanding patterns and making predictions.
Deploy the trained models into production environments and integrate them into existing systems for real-world application.
Implement ongoing monitoring of AI model performance, collecting feedback and iterating on the models to improve accuracy and adapt to changing data patterns.
