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AWS re:Invent 2023 - Train and tune state-of-the-art ML models on Amazon SageMaker (AIM335)

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Train machine learning (ML) models faster on Amazon SageMaker with state-of-the-art training tools and the highest-performing ML compute infrastructure currently available. SageMaker interactive debugging and profiling tools can uncover complex model behaviors and dissect hardware utilization in near real time. You can also optimize distributed training jobs with the fastest and easiest methods for training large deep learning models and datasets. Join this session to learn about new features that enable large-scale and cost-effective model training. Get prescriptive guidance across the entire journey of LLM customization and pretraining to help you accelerate generative AI development.
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ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.
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.
#AWSreInvent #AWSreInvent2023
Subscribe:
ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.
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.
#AWSreInvent #AWSreInvent2023