Remove 2013 Remove Big Data Remove Clustering
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Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

AWS Machine Learning Blog

Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting). Then we use K-Means to identify a set of cluster centers.

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

Solution overview We deploy FedML into multiple EKS clusters integrated with SageMaker for experiment tracking. EKS Blueprints helps compose complete EKS clusters that are fully bootstrapped with the operational software that is needed to deploy and operate workloads. He also holds an MBA from Colorado State University.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

For instance, partition pruning, data skipping, and columnar storage formats (like Parquet and ORC) allow efficient data retrieval, reducing scan times and query costs. This is invaluable in big data environments, where unnecessary scans can significantly drain resources.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps. He is an industry leader with a passion for innovation.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.