Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training

10 February 2023

Papers citing "Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training"

4 / 4 papers shown

Title
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers Siddharth Singh Prajwal Singhania Aditya K. Ranjan John Kirchenbauer Jonas Geiping ... Abhimanyu Hans Manli Shu Aditya Tomar Tom Goldstein A. Bhatele 94 2 0 12 Feb 2025
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 248 1,986 0 31 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,817 0 17 Sep 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016