Remove tag configuration
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Creating a web app for Gradio application on Azure using Docker: A step-by-step guide

Data Science Dojo

The “-t demo-gradio-app” option specifies the name and optionally a tag to the name of the image in the “name:tag” format. Web App for Gradio Step 7C Step 8: Tag & Push Image to Azure Container Registry First enable ‘Admin user’ from ‘Access Keys’ tab in Azure Container Registry.

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Boeing panel that blew off during flight

FlowingData

Reuters illustrates what that panel is for , other airlines with the same configuration, and where they travel. Tags: Boeing , Reuters , safety A refrigerator-sized panel popped off a Boeing 737 MAX 9 during the ascent of an Alaska Airlines flight.

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Introducing automatic training for solutions in Amazon Personalize

AWS Machine Learning Blog

In this post, we guide you through the process of configuring automatic training, so your solutions and recommendations maintain their accuracy and relevance. When you create a custom solution, you specify a recipe matching your use case and configure training parameters. Optionally, add any tags. Choose Create solution.

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Track and Visualize Information From Your Pipelines: neptune.ai + ZenML Integration

The MLOps Blog

To use neptune.ai, you also need to configure your API key token, as well as the project you want to log into. To use the Neptune Experiment Tracking flavor (provided by the Neptune-ZenML integration), you need to specify this fact either in the `step` decorator or in the configuration file (see listings below).

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning Blog

On the engineering side, managing video sampling with concurrency, providing high availability, and flexible configuration options, as well as having an extendable architecture to support additional ML model plugins requires intensive effort. The transcription of the video is within the tag. You can find the company policy in the tag.

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Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

AWS Machine Learning Blog

In addition, we showcase how to optimize your PySpark steps using configurations and Spark UI logs. Although those images allow you to quickly start using PySpark in processing jobs, large-scale data processing often requires specific Spark configurations in order to optimize the distributed computing of the cluster created by SageMaker.

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