Skip to content
#

sagemaker-studio

Here are 37 public repositories matching this topic...

This repository contains samples for fine-tuning embedding models using Amazon SageMaker. Embedding models are useful for tasks such as semantic similarity, text clustering, and information retrieval. Fine-tuning these models on your specific domain data can greatly improve their performance.

  • Updated Jul 12, 2024
  • Jupyter Notebook

Image Classifiers are used in the field of computer vision to identify the content of an image and it is used across a broad variety of industries, from advanced technologies like autonomous vehicles and augmented reality, to eCommerce platforms, and even in diagnostic medicine.

  • Updated Mar 1, 2023
  • HTML

Improve this page

Add a description, image, and links to the sagemaker-studio topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the sagemaker-studio topic, visit your repo's landing page and select "manage topics."

Learn more