Model Training

Model training refers to the process of teaching a machine learning model to make predictions or decisions by feeding it data and adjusting its parameters to minimize errors. As the foundation of developing accurate and reliable AI systems, model training is a crucial step in the machine learning lifecycle, and its optimization is essential for achieving high performance in various applications, from image recognition and natural language processing to predictive analytics and decision-making.