Is the process of teaching a machine learning algorithm to recognize patterns and make decisions based on data. This process includes feeding the algorithm a large dataset and adjusting its parameters to minimize errors, enabling it to perform specific tasks effectively. For instance, OpenAI describes training a generative model as collecting extensive data and training the model to generate similar data, compelling it to internalize the essence of the data used to train it. (OpenAI)