Large Language Models, Machine Learning, Deep Learning, Data Science, Technology.
dimensionality then d x d. (Image by the blog author) Impact of Lower Rank on Trainable Parameters By choosing matrices ( A ) and ( B ) to have a lower rank ( r ), the number of trainable parameters is significantly reduced. For example, if ( W ) is a ( d x d ) matrix, traditionally, updating ( W )