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Translate documents in real time with Amazon Translate

AWS Machine Learning Blog

en es source-lang.txt Conclusion The real-time document translation feature in Amazon Translate can expedite time to market by enabling easy integration with content creation and localization. Use Amazon Translate with the AWS CLI You can translate the contents of a file using the following AWS CLI command.

AWS 82
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Amazon Translate enhances its custom terminology to improve translation accuracy and fluency

AWS Machine Learning Blog

en fr es tutor éducateur tutor sheep agneau oveja walking promenant para caminar burger sandwich hamburguesa action-specific spécifique à l’action especifico de acción order commande commande Exploring the custom terminology feature Let’s translate the sentence “she was a great tutor” with Amazon Translate.

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Enhancing Customer Support on WhatsApp: Building a WhatsApp Chatbot with Human Handover using…

Chatbots Life

You can also replace “language_code” as per your requirements, but it should be set to “en” by default. For more details, please visit: WhatsApp Business API Automation with Flask We hope that you’ve effectively created a WhatsApp Chatbot using Dialogflow and having fun using it.

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Creating Movie Trailers With AI

Towards AI

Note: the code samples below were simplified for demonstration purposes, to check the actual working code, visit the project's page. After combining each audio with the corresponding clip, we just need to join all clips together into the final trailer. Let's look at each part in more detail.

AI 101
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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning Blog

To learn more, you can visit this guide on the AWS Containers Blog or Verizon’s 5GEdgeTutorials repository for one such example. To learn more, visit SageMaker Roles. infer-tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2.tar.gz To do so, deploy an Amazon EKS cluster with an AWS Wavelength node group. Run the train_model.py

AWS 80
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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning Blog

For further insights into ZOO Digital’s services and technology, visit ZOO Digital’s official site. in a code subdirectory. We’ve outlined key steps to deploy the WhisperX model on the SageMaker asynchronous endpoint, and encourage you to try it yourself using the provided code.

AWS 98
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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

For more details, please visit Comprehend Pricing. You are charged $3 per hour for model training (billed by the second) and $0.50 per month for custom model management. For synchronous custom classification and entities inference requests, you provision an endpoint with the appropriate throughput.