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RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers

Google Research AI blog

However, as VLMs are primarily designed for image-level tasks like classification and retrieval, they do not fully leverage the concept of objects or regions during the pre-training phase. Region-aware image-text pre-training Existing VLMs are trained to match an image as a whole to a text description.

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Retain original PDF formatting to view translated documents with Amazon Textract, Amazon Translate, and PDFBox

AWS Machine Learning Blog

There are similar PDF processing libraries available in other programming languages, for example Node PDFBox. jar --source en --translated es Two translated PDF documents are created in the documents folder, with and without the original formatting ( SampleOutput-es.pdf and SampleOutput-min-es.pdf ). region(region).build();

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

AWS Machine Learning Blog

You can opt in to the Wavelength Zones within a given Region via the AWS Management Console or the AWS Command Line Interface (AWS CLI). Because SageMaker is not natively supported in Wavelength Zones, we demonstrate how to extract the model artifacts from the Region and re-deploy to the edge. Run the train_model.py sourcedir.tar.gz

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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning Blog

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. Remember to replace [REGION] with the AWS Region you are using. For other required Python packages, create a requirements.txt file with a list of packages and their versions.

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Enhancing customer experience: Streamlining orders with custom email notifications in IBM Cloud

IBM Journey to AI blog

Select a Region from the list of supported regions and Select a pricing plan. This case study may inspire other businesses to explore similar solutions for improving customer engagement and satisfaction. Step 1: Create an IBM Cloud Event Notifications service instance Log in to your IBM Cloud account. Provide a Service name.

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Build RAG applications using Jina Embeddings v2 on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Choose Jina Embeddings v2 Base – en , which is Jina AI’s English language embeddings model. Our state-of-the-art text embedding models support English and Chinese and soon will support German, with other languages to follow. Search for “jina” and you will see the provider page link and models available from Jina AI. Choose Deploy.

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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. As part of the next steps, you can explore the following: Create and manage Comprehend flywheel resources from other mediums such as SDK and console.