Model Training

Model training is the process of teaching an AI system how to make decisions or predictions by showing it data. During training, the AI adjusts its internal settings based on examples so that it can respond more accurately in the future. For example, you might train a model on thousands of restaurant reviews so it can learn how to detect whether a review is positive or negative.

Training can take a lot of time and computer power, especially with large datasets or complex models. Once training is complete, the model is ready to be used in real-world applications, where it performs inference by applying what it has learned to new situations.