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Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

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.

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Amazon EC2 P5e instances are generally available

AWS Machine Learning Blog

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.

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning Blog

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.

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From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

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%

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Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart

AWS Machine Learning Blog

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.

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Top 10 Deep Learning Platforms in 2024

DagsHub

TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In finance, it's applied for fraud detection and algorithmic trading. In 2011, H2O.ai Notable Use Cases TensorFlow is widely used in various industries.

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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

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.

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