Generative Data Intelligence

Tag: distributed training

Best practices to build generative AI applications on AWS | Amazon Web Services

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However,...

Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. In this post, we...

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...

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,...

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...

Enable faster training with Amazon SageMaker data parallel library | Amazon Web Services

Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2,...

Welcome to a New Era of Building in the Cloud with Generative AI on AWS | Amazon Web Services

We believe generative AI has the potential over time to transform virtually every customer experience we know. The number of companies launching generative AI...

Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services

Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast...

Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting | Amazon Web Services

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision...

How Amazon Search M5 saved 30% for LLM training cost by using AWS Trainium | Amazon Web Services

For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. From the earliest days, Amazon has used ML...

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