AWS Machine Learning Blog

JUNE 6, 2023

This post further walks through a step-by-step implementation of fine-tuning a RoBERTa (Robustly Optimized BERT Pretraining Approach) model for sentiment analysis using AWS Deep Learning AMIs (AWS DLAMI) and AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2 p4d.24xlarge) torch.compile + bf16 + fused AdamW.

ML 72

ML Deep Learning BERT Python 72

AWS Machine Learning Blog

SEPTEMBER 11, 2024

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” The following table shows the metadata of three of the largest accelerated compute instances. For the latter instance type, they ran three tests: language pretraining with GPT2, token classification with BERT Large, and image classification with the Vision Transformer.

ML 86

ML Deep Learning Algorithm Large Language Models 86

Bugra Akyildiz

AUGUST 10, 2024

Large models like GPT-3 (175B parameters) or BERT-Large (340M parameters) can be reduced by 75% or more. Running BERT models on smartphones for on-device natural language processing requires much less energy due to resource constrained in smartphones than server deployments. million per year in 2014 currency) in Shanghai.

BERT 59

BERT Large Language Models Categorization Deep Learning 59