AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics.

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Give the features a try and send us feedback either through the AWS forum for Amazon Comprehend or through your usual AWS support contacts. About the Authors Aman Tiwari is a General Solutions Architect working with Worldwide Commercial Sales at AWS. Outside of work, he enjoys playing lawn tennis and reading books.

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Pickl AI

DECEMBER 25, 2024

Its diverse content includes academic papers, web data, books, and code. EleutherAI created the Pile to democratise AI research with high-quality, accessible data. Diversity of Sources : The Pile integrates 22 distinct datasets, including scientific articles, web content, books, and programming code.

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AWS Machine Learning Blog

JANUARY 25, 2023

Solution overview SageMaker algorithms have fixed input and output data formats. But customers often require specific formats that are compatible with their data pipelines. Option A In this option, we use the inference pipeline feature of SageMaker hosting. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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phData

FEBRUARY 14, 2023

Source data formats can only be Parquer, JSON, or Delimited Text (CSV, TSV, etc.). Streamsets Data Collector StreamSets Data Collector Engine is an easy-to-use data pipeline engine for streaming, CDC, and batch ingestion from any source to any destination.

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DagsHub

AUGUST 29, 2024

For automated documentation, you can use tools like Sphinx , Jupyter Book , or MKDocs to automatically generate documentation from code comments, docstring, and notebooks. Regular backups can be done using the automated metrics that periodically copy the data and model files to remote storage such as cloud storage (eg.

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AWS Machine Learning Blog

JANUARY 15, 2025

Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience. Technical architecture The overall solution is implemented using AWS services and LangChain. AWS Glue AWS Glue is used for data cataloging.

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AWS Machine Learning Blog

DECEMBER 18, 2024

Training an LLM is a compute-intensive and complex process, which is why Fastweb, as a first step in their AI journey, used AWS generative AI and machine learning (ML) services such as Amazon SageMaker HyperPod. The team opted for fine-tuning on AWS. To further enrich the dataset, Fastweb generated synthetic Italian data using LLMs.

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