Definition
Training in artificial intelligence refers to the process of teaching a model to perform a specific task by exposing it to large amounts of relevant data. This data acts as examples, allowing the AI to learn patterns, relationships, and decision making criteria. During training, the model adjusts its internal parameters to minimize errors and improve its accuracy in predicting outcomes or classifying information. This iterative process is crucial for developing AI systems that can reliably assist in complex operations or automate repetitive tasks. For instance, a fraud detection system is trained on historical transaction data to identify suspicious activities. Unlike simple data storage, training involves active learning and model refinement. This concept is fundamental to AI domains covered in certifications like AWS Certified Solutions Architect Associate.