Overfitting is Not a Problem in #OpenfabricAI

Misconception: Since #OpenfabricAI is built using advanced algorithms, it’s immune to issues like overfitting (models that perform well on training data but poorly on unseen data).

Reality: Overfitting remains a significant problem in machine learning and AI, even in OpenfabricAI. If a model is too complex relative to the amount of training data, it can memorize the data and fail to generalize to new, unseen examples. Proper regularization, cross-validation, and early stopping are necessary to prevent overfitting, and this issue is still actively managed in OpenfabricAI applications.