Getting started with pre-training foundation models on Amazon SageMaker | Amazon Web Services
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Опубликовано 7 июня 2024, 16:54
To train your own FMs on SageMaker, you can easily access your training data and outputs model artifacts from an S3 bucket, choose from a wide choice of compute instances that are managed by SageMaker, and create a training job. In this video, we will show you how you can pre-train a Llama 2 model using SageMaker on AWS Trainium instances.
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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.
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Learn more: go.aws/3Vgd31M
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
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