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Using task-specific models from AI21 Labs on AWS

AWS Machine Learning Blog

In this blog post, we will show you how to leverage AI21 Labs’ Task-Specific Models (TSMs) on AWS to enhance your business operations. You will learn the steps to subscribe to AI21 Labs in the AWS Marketplace, set up a domain in Amazon SageMaker, and utilize AI21 TSMs via SageMaker JumpStart. Limits are account and resource specific.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. In the second post , we present the use cases and dataset to show its effectiveness in analyzing real-world healthcare datasets, such as the eICU data , which comprises a multi-center critical care database collected from over 200 hospitals.

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

Overall, implementing a modern data architecture and generative AI techniques with AWS is a promising approach for gleaning and disseminating key insights from diverse, expansive data at an enterprise scale. AWS also offers foundation models through Amazon SageMaker JumpStart as Amazon SageMaker endpoints.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. The AWS P5 EC2 instance type range is based on the NVIDIA H100 chip, which uses the Hopper architecture. In November 2023, AWS announced the next generation Trainium2 chip.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

Evolution of Open Table Formats Here’s a timeline that outlines the key moments in the evolution of open table formats: 2008 - Apache Hive and Hive Table Format Facebook introduced Apache Hive as one of the first table formats as part of its data warehousing infrastructure, built on top of Hadoop.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended September 30, 2008. We serve developers and enterprises of all sizes through AWS, which offers a broad set of global compute, storage, database, and other service offerings.

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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended September 30, 2008. We serve developers and enterprises of all sizes through AWS, which offers a broad set of global compute, storage, database, and other service offerings.

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