How to Build This | S2E4 Language Modeling App in AWS

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In this episode, Jillian Forde breaks down the architecture to build an app with language modeling in AWS.  

Special Thanks to These Contributors: Kat Desai, Zoran Nakev

Resources to get started:
Using Hugging Face with Amazon SageMaker: https://docs.aws.amazon.com/sagemaker/latest/dg/hugging-face.html
Amazon SageMaker Distributed Training Libraries: https://docs.aws.amazon.com/sagemaker/latest/dg/distributed-training.html
Amazon S3 intelligent tiering: https://aws.amazon.com/about-aws/whats-new/2018/11/s3-intelligent-tiering/
Hugging Face Estimator: https://sagemaker.readthedocs.io/en/stable/frameworks/huggingface/sagemaker.huggingface.html
Automatic model tuning with Amazon SageMaker: https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning.html
Invoke an Amazon Sagemaker endpoint: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.html

Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIga1

#AWS #AmazonWebServices #CloudComputing #HowToBuildThis
Category
Amazon Web Services
Tags
AWS, Amazon Web Services, Cloud
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