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Опубликовано 18 декабря 2024, 20:16
Data Scientists and ML Engineers often need to fine-tune Large Language Models (LLMs) to meet their specific business needs, which requires carefully curated and validated training data. However, if they are not familiar with the Amazon SageMaker SDK, implementing an established FMOps pipeline can be time-consuming. With Amazon SageMaker Pipelines UI, users can easily create pipelines through a drag-and-drop interface. The pipeline can include multiple steps such as data preparation, LLM fine-tuning, and model evaluation, while tracking experiments in an MLflow server.
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Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices #CloudComputing
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices #CloudComputing
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