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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning Blog

APRIL 7, 2023

To learn more, you can visit this guide on the AWS Containers Blog or Verizon’s 5GEdgeTutorials repository for one such example. script to retrieve the JumpStart model artifacts and deploy the pre-trained model to your local machine: python train_model.py To do so, deploy an Amazon EKS cluster with an AWS Wavelength node group.

BERT

BERT Metadata Natural Language Processing ML

Supercharging Your Data Pipeline with Apache Airflow (Part 2)

Heartbeat

NOVEMBER 6, 2023

You might need to extract the weather and metadata information about the location, after which you will combine both for transformation. In the image, you can see that the extract the weather data and extract metadata information about the location need to run in parallel. This type of execution is shown below.

ETL

ETL Python Metadata Deep Learning

Artificial Intelligence Zone

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

Supercharging Your Data Pipeline with Apache Airflow (Part 2)

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