Getting started with customizing foundation models on Amazon SageMaker | Amazon Web Services
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Опубликовано 7 июня 2024, 16:56
To customize FMs, you can evaluate FMs, engineer prompts, prepare labeled datasets, fine-tune models, and implement retrieval augmented generation (RAG) on SageMaker. In this video, you will quickly learn how to run automated and human model evaluations and train and fine tune a Llama 2 on SageMaker.
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Learn more: go.aws/3X7Sjft
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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