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Tag: distributed training

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker | Amazon Web Services

This post is co-written with Chaoyang He, Al Nevarez and Salman Avestimehr from FedML. Many organizations are...

Fujitsu AI strategy strengthens data integration, generative AI capabilities with dedicated platform and new Fujitsu Uvance offerings

TOKYO, Feb 14, 2024 - (JCN Newswire) - Fujitsu today announced details of a new company-wide AI strategy that focuses on deepening human-AI collaboration,...

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest...

How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in...

Chip Industry Technical Paper Roundup: Jan. 23

Industry Research ...

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% | Amazon Web Services

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2,...

Top Generative AI GitHub Repositories to Revisit in 2023

Introduction As 2023 draws to a close, the landscape of artificial intelligence continues its relentless march forward. Staying abreast of the latest advancements can feel...

Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium | Amazon Web Services

Large language models (or LLMs) have become a topic of daily conversations. Their quick adoption is evident by the amount of time required to...

Free MIT Course: TinyML and Efficient Deep Learning Computing – KDnuggets

Image by Author  In today’s tech-savvy world, we're surrounded by mind-blowing AI-powered wonders: voice assistants answering our questions, smart cameras identifying faces, and self-driving...

KT’s journey to reduce training time for a vision transformers model using Amazon SageMaker | Amazon Web Services

KT Corporation is one of the largest telecommunications providers in South Korea, offering a wide range of services including fixed-line telephone, mobile communication, and...

Putting AI challenges in perspective with partnerships

Sponsored Feature As the technology becomes more widely deployed across more vertical sectors and industries, the capacity of artificial intelligence (AI) to transform business...

Introduction to Deep Learning Libraries: PyTorch and Lightning AI – KDnuggets

Photo by Google DeepMind   Deep learning is a branch of the machine learning model based on neural networks. In the other machine model, the...

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