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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

AWS Machine Learning

Amazon Personalize allows you to add sophisticated personalization capabilities to your applications by using the same machine learning (ML) technology used on Amazon.com for over 20 years. You can also add data incrementally by importing records using the Amazon Personalize console or API. No ML expertise is required.

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Customize your recommendations by promoting specific items using business rules with Amazon Personalize

AWS Machine Learning

Today, we are excited to announce Promotions feature in Amazon Personalize that allows you to explicitly recommend specific items to your users based on rules that align with your business goals. You can use promotions in domain dataset groups and custom dataset groups ( User-Personalization and Similar-Items recipes).

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Play the Game of Telephone with the Nexmo Voice API

Nexmo

If you never played it here is a quick recap: Telephone begins when one person whispers a message to the person next to them. The second person whispers the same message to the next person, who then shares it with the person next to them, and so on and so on. Nexmo Account. Google Cloud Platform Account.

APIs 73
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Play the Game of Telephone with the Nexmo Voice API

Nexmo

If you never played it here is a quick recap: Telephone begins when one person whispers a message to the person next to them. The second person whispers the same message to the next person, who then shares it with the person next to them, and so on and so on. Nexmo Account. Google Cloud Platform Account.

APIs 73
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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

APIs 106
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Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization

AWS Machine Learning

To address these use cases and generate fully personalized images, you can fine-tune Amazon Titan Image Generator with your own data using custom models for Amazon Bedrock. Let’s now start a fine-tuning job with the photos from Ron and Smila to get consistent, personalized outputs.

APIs 84
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Automatic image cropping with Amazon Rekognition

AWS Machine Learning

Amazon Rekognition makes it easy to add this capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 76