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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach. Here’s an example.

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Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Calabrio

The one-size-fit-all script no longer cuts it. Tech advances are powering better service through all channels, including voice, SMS, chat and in-app messaging as well as video, which is quickly becoming a favored channel, especially during the pandemic. Technology Fuels Contact Center Transformation.

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Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

AWS Machine Learning

Refer to notebook examples for SageMaker algorithms – SageMaker provides a suite of built-in algorithms to help data scientists and ML practitioners get started with training and deploying ML models quickly. The following video shows you how to find a pre-trained text-to-image model on JumpStart and deploy it. About the Authors.

APIs 96
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Run image segmentation with Amazon SageMaker JumpStart

AWS Machine Learning

Refer to notebook examples for SageMaker algorithms – SageMaker provides a suite of built-in algorithms to help data scientists and ML practitioners get started with training and deploying ML models quickly. The following video shows you how to find a pre-trained semantic segmentation model on JumpStart and deploy it.

APIs 88
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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Under Advanced Project Options , for Definition , select Pipeline script from SCM. For Script Path , enter Jenkinsfile. upload_file("pipelines/train/scripts/raw_preprocess.py","mammography-severity-model/scripts/raw_preprocess.py") s3_client.Bucket(default_bucket).upload_file("pipelines/train/scripts/evaluate_model.py","mammography-severity-model/scripts/evaluate_model.py")

Scripts 117
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Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

AWS Machine Learning

Refer to notebook examples for SageMaker algorithms – SageMaker provides a suite of built-in algorithms to help data scientists and ML practitioners get started with training and deploying ML models quickly. The following video shows you how to find a pre-trained text generation model on JumpStart and deploy it. About the Authors.

APIs 90
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Customer Experience Automation: Transforming the Future of Customer Service

TechSee

Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences. Embrace Visual and Multimodal AI : Use advanced visual AI technologies to interact across text, audio, image, and video.