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Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

Favorite Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series

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Shared by AWS Machine Learning September 12, 2024

Introducing Amazon EKS support in Amazon SageMaker HyperPod

Favorite We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod, a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation

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Shared by AWS Machine Learning September 12, 2024

Jordan Maris joins OSI

Favorite Helen Keller said, “Alone we can do so little; together we can do so much.” Although she wouldn’t have understood this 2024 expression, we know “she nailed it.” It takes many of us working together to truly accomplish great things. That’s why the OSI staff is so excited to

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Shared by voicesofopensource September 10, 2024

Exploring data using AI chat at Domo with Amazon Bedrock

Favorite This post is co-written with Joe Clark from Domo. Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Traditionally, gaining these insights required skilled analysts using specialized tools, which can make the process slow and less accessible. Generative artificial intelligence (AI) has revolutionized

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Shared by AWS Machine Learning September 10, 2024

Amazon EC2 P5e instances are generally available

Favorite State-of-the-art generative AI models and high performance computing (HPC) applications are driving the need for unprecedented levels of compute. Customers are pushing the boundaries of these technologies to bring higher fidelity products and experiences to market across industries. The size of large language models (LLMs), as measured by the

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Shared by AWS Machine Learning September 10, 2024

Align Meta Llama 3 to human preferences with DPO, Amazon SageMaker Studio, and Amazon SageMaker Ground Truth

Favorite Large language models (LLMs) have remarkable capabilities. Nevertheless, using them in customer-facing applications often requires tailoring their responses to align with your organization’s values and brand identity. In this post, we demonstrate how to use direct preference optimization (DPO), a technique that allows you to fine-tune an LLM with

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Shared by AWS Machine Learning September 10, 2024