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Training data refers to the large collection of examples used to teach an AI system how to recognize patterns, make predictions, or generate responses. For writing tools, this data includes books, articles, and websites.
AI models analyze millions of text samples to learn grammar, tone, facts, and structure. The system adjusts its parameters based on errors during training to improve accuracy over time.