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Fast Pre-trained Model Deployment #301

Closed mikegc-aws closed 1 year ago

mikegc-aws commented 1 year ago

Amazonian Contributors

If you are an Amazonian, please find the BuildOn.AWS wiki for more information on how to propose content. Any GitHub issues submitted here will be closed.

Community Contributors

January 27, 2023 - BuildOn.AWS content contributions are invite-only right now as we gather feedback and refine the publication processes and documentation. Star or watch this repository for updates as we open this up to more community authors in the coming months.

Interested in writing content for BuildOn.AWS? Yay! We're so happy you're here.

  1. Review the Author Quick Start before submitting your proposal to get an idea of the content we're looking for.
  2. Set your proposed content title to the title of this issue.
  3. Fill out the information below.

What is the title of the content you're proposing?

Fast Pre-trained Model Deployment

Describe your content, including takeaways for the reader, in three to four sentences.

Deploying pre-trained and foundation models quickly, and programmatically, using Amazon SageMaker Jumpstart, and the SageMaker SDK.

What theme is your content related to?

AI/ML

When can you provide your first draft of content by?

Today.

What are 2-3 links to previous written content you have published?

https://aws.amazon.com/blogs/machine-learning/run-notebooks-as-batch-jobs-in-amazon-sagemaker-studio-lab/

buildon-publication-bot[bot] commented 1 year ago

Thank you for your submission! We will review it shortly!

cherbk commented 1 year ago

@mikegc-aws do you still plan on submitting this piece?