Flipboard

MAY 29, 2025

It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. For a full architecture diagram demonstrating how the flow can be implemented on AWS, see the accompanying GitHub repository. Lets dive in! Solution overview At the core of our solution is a GeoFM.

AWS 110

AWS ML ML Machine Learning 110

AWS Machine Learning Blog

MARCH 8, 2023

This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability. In this post, you will learn how Marubeni is optimizing market decisions by using the broad set of AWS analytics and ML services, to build a robust and cost-effective Power Bid Optimization solution.

AWS 98

AWS Machine Learning Machine Learning Analytics 98

AWS Machine Learning Blog

FEBRUARY 6, 2024

In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried. We implemented the solution using the AWS Cloud Development Kit (AWS CDK).

AWS 128

AWS ML ML Data Preparation 128

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Suppliers of data center GPUs include NVIDIA, AMD, Intel, and others.

AWS 106

AWS ML ML Clustering 106

AWS Machine Learning Blog

JULY 13, 2023

PMLR, 2018. [2] arXiv preprint arXiv:1810.03264 (2018). [4] In his spare time, he enjoys cycling, hiking, and complaining about data preparation. International Conference on Machine Learning. 2] Keskar, Nitish Shirish, et al. “On On large-batch training for deep learning: Generalization gap and sharp minima.”

Clustering 91

Clustering Algorithm ML ML 91

AWS Machine Learning Blog

NOVEMBER 11, 2024

Prerequisites To try out this solution using SageMaker JumpStart, you’ll need the following prerequisites: An AWS account that will contain all of your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker. He is specialized in architecting AI/ML and generative AI services at AWS.

AI 114

AI AI ML ML 114