Language Model, Transformers, Deep Learning, Artificial Intelligence, Machine Learning.
“patches,”. This reduces the self-attention cost to O(T^(4/3)d). They note that in a Transformer, the feedforward layers consume about 98% of the FLOPs. MEGABYTES addresses this by replacing multiple passes of these layers with a single pass, utilizing a larger linear layer. Furthermore, the use of