Hugging Face creates state-of-the-art FMs using Amazon SageMaker HyperPod | Amazon Web Services
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Опубликовано 8 апреля 2024, 18:17
Hugging Face has been using Amazon SageMaker HyperPod to create important new open foundation models like StarCoder, IDEFICS, and Zephyr. SageMaker HyperPod’s purpose-built resiliency and performance capabilities have enabled the open science team to focus on innovating and publishing important improvements to the ways foundation models are built, rather than managing infrastructure.
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Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #GenerativeAI #FoundationModel #SageMaker #ModelTraining #HuggingFace
Learn more: go.aws/3vy7ALg
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #GenerativeAI #FoundationModel #SageMaker #ModelTraining #HuggingFace
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