Foundational concepts used throughout artificial intelligence.
A system that has learned patterns from data and uses those patterns to make predictions or generate content.
A defined set of steps a computer follows to process information, solve a problem or complete a task.
Computer systems designed to perform tasks that normally require abilities associated with human intelligence.
A structured collection of data used to train, evaluate, or fine-tune artificial intelligence models.
The internal, mathematically learned variables that define how an AI model processes inputs into outputs.
The specific input or instruction provided to an AI model to elicit a response or action.
The specific subset of a dataset used to teach an AI model how to recognize patterns and make predictions.