Mathematical Formulation of Learning and Its Computational Complexity for Transformers’ Layers
Transformers are the cornerstone of natural language processing and other much more complicated sequential modelling tasks. The training of these models, however, requires an enormous number of computations, with substantial economic and environmental impacts. An accurate estimation of the computati...
Main Authors: | Danilo Pietro Pau, Fabrizio Maria Aymone |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Eng |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4117/5/1/3 |
Similar Items
-
Forward Learning of Large Language Models by Consumer Devices
by: Danilo Pietro Pau, et al.
Published: (2024-01-01) -
THE WOMANLY VOICE OF RACISM AS REPRESENTED IN GWENDOLYN BROOKS'S IN THE MECCA
by: Hamdi Hameed Al-Douri, PHD, et al.
Published: (2022-06-01) -
Več kot predgovor: »urednik« romana Pepita Jiménez
by: Ignac Fock
Published: (2014-12-01) -
A Perfect Work of Art. A propósito de las primeras traducciones al inglés de Pepita JiménezA Perfect Work of Art. Apropos the First English Translations of Pepita Jiménez
by: ANA MARÍA RAMOS GARCÍA, et al.
Published: (2021-02-01) -
Back propagation Neural Network Proposed Algorithm to learn deaf a Computer Commands by Hand Gestures
by: Azmi shawkat abdulbaki
Published: (2012-12-01)