The process of exposing a model to large volumes of labelled or unlabelled data and adjusting its internal parameters to minimise prediction errors. Training is computationally intensive, often performed on GPU clusters, and constitutes the major cost in foundation model development.
احجز استشارة لمناقشة كيفية تطبيق مفاهيم الذكاء الاصطناعي على تحدياتك.