Model training is the process of teaching an AI system how to recognize patterns, make predictions, or perform tasks by feeding it data and adjusting its behavior based on outcomes.

A well-trained model produces more accurate, reliable results — whether it’s generating responses, analyzing documents, or detecting risks. Poorly trained models can lead to biased or incorrect outputs.

A business trains a customer service chatbot using past chat transcripts so it can learn how to answer common questions more effectively.

Machine Learning, Artificial Intelligence, LLM

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