AWS Machine Learning Blog

OCTOBER 10, 2023

Customers often need to train a model with data from different regions, organizations, or AWS accounts. Existing partner open-source FL solutions on AWS include FedML and NVIDIA FLARE. These open-source packages are deployed in the cloud by running in virtual machines, without using the cloud-native services available on AWS.

AWS 115

AWS ML ML Algorithm 115

AWS Machine Learning Blog

JULY 15, 2024

Faced with manual dubbing challenges and prohibitive costs, MagellanTV sought out AWS Premier Tier Partner Mission Cloud for an innovative solution. In the backend, AWS Step Functions orchestrates the preceding steps as a pipeline. Each step is run on AWS Lambda or AWS Batch. She received her Ph.D.

AWS 118

AWS ML ML Big Data 118

AWS Machine Learning Blog

SEPTEMBER 9, 2024

AWS is the first leading cloud provider to offer the H200 GPU in production. Customers using dynamic programming (DP) algorithms for applications like genome sequencing or accelerated data analytics can also see further benefit from P5e through support for the DPX instruction set. Karthik Venna is a Principal Product Manager at AWS.

AWS 107

AWS Deep Learning Deep Learning ML 107

AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience. The recommendation system has driven an 8.6%

AWS 112

AWS Deep Learning Deep Learning Machine Learning 112

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available.

Algorithm 91

Algorithm Machine Learning Machine Learning Natural Language Processing 91

AWS Machine Learning Blog

APRIL 19, 2023

We use Amazon SageMaker to train a model using the built-in XGBoost algorithm on aggregated features created from historical transactions. Prerequisites We provide an AWS CloudFormation template to create the prerequisite resources for this solution. Mark holds six AWS certifications, including the ML Specialty Certification.

ML 92

ML ML Apache Kafka SQL 92

AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm.

Machine Learning 98

Machine Learning Machine Learning ML ML 98