Parameters

The adjustable numerical values within AI models that determine how the system processes information and makes decisions, learned through training on data to optimise performance for specific tasks. More parameters typically enable greater model capability but require more computational resources and training data. For businesses evaluating AI solutions, understanding parameters helps assess model complexity, resource requirements, and potential capabilities. Larger parameter counts often correlate with more sophisticated functionality but also increased costs, processing time, and computational requirements, requiring businesses to balance capability needs with practical implementation constraints.