AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Machine Learning Deep Learning 116

AWS Machine Learning Blog

NOVEMBER 3, 2023

His 2009 strike against Leverkusen at a speed of 125 km/h is one that is vividly remembered because the sheer velocity of Hitzlsperger’s free-kick was enough to leave Germany’s number one goalkeeper, René Adler, seemingly petrified. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster.

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AWS Machine Learning Blog

JANUARY 30, 2023

In these cases, you might be able to speed up the process by distributing training over multiple machines or processes in a cluster. This post discusses how SageMaker LightGBM helps you set up and launch distributed training, without the expense and difficulty of directly managing your training clusters. 1 5329 5414 0.937 0.947 65.6

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Algorithm Clustering Machine Learning Machine Learning 93

AWS Machine Learning Blog

APRIL 18, 2023

On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended September 30, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended March 31, 2009. per diluted share, compared to $5,716,000, or $0.33

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AWS Machine Learning Blog

APRIL 18, 2023

On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended September 30, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended March 31, 2009. per diluted share, compared to $5,716,000, or $0.33

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ML ML Deep Learning Deep Learning 52