AWS Machine Learning Blog

This post is designed for Kubernetes cluster administrators and ML scientists, providing an overview of the key features that SageMaker HyperPod introduces to facilitate large-scale model training on an EKS cluster.

In this post, we aim to provide business leaders with a non-technical overview of purpose-built accelerators (PBAs) and their role within the financial services industry (FSI).

In this post, we demonstrate how to build a robust real-time anomaly detection solution for streaming time series data using HAQM Managed Service for Apache Flink and other AWS managed services.

In this post we describe how AWS generative AI solutions (including HAQM Bedrock, HAQM Q Developer, and HAQM Q Business) can further enhance TechOps productivity, reduce time to resolve issues, enhance customer experience, standardize operating procedures, and augment knowledge bases.

In this post, we review the guidance for optimizing MLOps for Sustainability on AWS, providing service-specific practices to understand and reduce the environmental impact of these workloads.

In this post, we take a closer look at HAQM Bedrock Agents. They empower you to build intelligent and context-aware generative AI applications, streamlining complex workflows and delivering natural, conversational user experiences.

In this post, we detail our collaboration in creating two proof of concept (PoC) exercises around multi-modal machine learning for survival analysis and cancer sub-typing, using genomic (gene expression, mutation and copy number variant data) and imaging (histopathology slides) data. We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with HAQM SageMaker. These multi-modal pipelines are being used on the Genomics England cancer cohort to enhance our understanding of cancer biomarkers and biology.

In this post, we show you how to enhance the performance of Meta Llama 3 8B Instruct by fine-tuning it using direct preference optimization (DPO) on data collected with SageMaker Ground Truth.

In this post, we discuss the core capabilities of HAQM Elastic Compute Cloud (HAQM EC2) P5e instances and the use cases they’re well-suited for. We walk you through an example of how to get started with these instances and carry out inference deployment of Meta Llama 3.1 70B and 405B models on them.

In this post, we share how Domo, a cloud-centered data experiences innovator is using HAQM Bedrock to provide a flexible and powerful AI solution.