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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning Blog

After modeling, detected services of each architecture diagram image and its metadata, like URL origin and image title, are indexed for future search purposes and stored in Amazon DynamoDB , a fully managed, serverless, key-value NoSQL database designed to run high-performance applications. join(", "), }; }).catch((error) join(", "), }; }).catch((error)

Metadata 101
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All AI and Machine Learning Solutions Coming to ODSC Europe 2023

ODSC - Open Data Science

This is because Delta Lake focuses on a robust list of features such as Time Travel, which allows users to access/revert to earlier versions of data for audits, rollbacks, and more, and like others on the list, the ability to scale metadata.

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Why is Git Not the Best for ML Model Version Control

The MLOps Blog

Starting from AlexNet with 8 layers in 2012 to ResNet with 152 layers in 2015 – the deep neural networks have become deeper with time. You also need to store model metadata and document details like configuration, flow, and intent of performing the experiments. Git cannot also automatically log each experiment.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning Blog

app and run it inside the Cloud9 environment.

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning Blog

You will see an Amazon Simple Storage Service (Amazon S3) link to a metadata file. On the IAM console, navigate to the SageMaker domain execution role. Choose Add permissions and select Create an inline policy. Copy and paste the link into a new browser tab URL. Let’s look at the file without downloading it.

ML 78
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Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

AWS Machine Learning Blog

On the Select trusted entity page, select Custom trust policy. On the Add required permissions page, choose Create policy. In the Permissions policy section, on the Add permissions menu, choose Create inline policy. client('sts') # Call the assume_role method of the STSConnection object and pass the role # ARN and a role session name.

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Optimized Deep Learning Pipelines: A Deep Dive into TFRecords and Protobufs (Part 2)

Heartbeat

We can use this opportunity to not only convert these images from JPG to TFRecords, but when converting them, we can even write them with their appropriate label and any other metadata we wish to store with the image itself. jpg': {'class': 132, 'label': 'Hyundai Tucson SUV 2012'}, '00235.jpg':