Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967767Time Stamp: Apr 23, 2024
Democratizing access to AI development: Partnering with Prime Intellect Source Cluster: The CoinFund Source Node: 1967637Time Stamp: Apr 23, 2024
Open source observability for AWS Inferentia nodes within Amazon EKS clusters | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965567Time Stamp: Apr 17, 2024
Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965236Time Stamp: Apr 16, 2024
A secure approach to generative AI with AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1964954Time Stamp: Apr 16, 2024
Vana Launches DAO Allowing Users To Control and Sell Their Reddit Data – The Defiant Source Cluster: The Defiant Source Node: 1962425Time Stamp: Apr 4, 2024
Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1960833Time Stamp: Apr 1, 2024
Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956500Time Stamp: Mar 15, 2024
Enable data sharing through federated learning: A policy approach for chief digital officers | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956731Time Stamp: Mar 15, 2024
Best practices to build generative AI applications on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956733Time Stamp: Mar 14, 2024
Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1953124Time Stamp: Feb 29, 2024
Fujitsu AI strategy strengthens data integration, generative AI capabilities with dedicated platform and new Fujitsu Uvance offerings Source Cluster: JCN Newswire Source Node: 1947780Time Stamp: Feb 13, 2024
How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1947388Time Stamp: Feb 13, 2024
How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1947114Time Stamp: Feb 12, 2024
Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1928597Time Stamp: Dec 22, 2023
Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1924259Time Stamp: Dec 12, 2023
Enable faster training with Amazon SageMaker data parallel library | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921534Time Stamp: Dec 5, 2023
Welcome to a New Era of Building in the Cloud with Generative AI on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920152Time Stamp: Nov 30, 2023
Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920802Time Stamp: Nov 30, 2023
Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921172Time Stamp: Nov 29, 2023