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.

AWS 115

AWS Machine Learning Machine Learning Deep Learning 115

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.

AWS 116

AWS Machine Learning Machine Learning Deep Learning 116

Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

Dataconomy

JANUARY 24, 2024

KMS Technology KMS Technology is a pioneer in the AI sector in Vietnam, providing businesses with robust AI and machine learning solutions. Since its inception in 2009, KMS Technology has remained committed to delivering top-notch services in AI, data analytics, and software development.

AI 113

AI AI Predictive Analytics Machine Learning 113

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

ML 75

ML ML Deep Learning Deep Learning 75

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

ML 52

ML ML Deep Learning Deep Learning 52

AWS Machine Learning Blog

JANUARY 30, 2023

For the NYC taxi data, we use the yellow trip taxi records from 2009–2022. He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering.

Algorithm 93

Algorithm Clustering Machine Learning Machine Learning 93