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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning

Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image.

APIs 116
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Play the Game of Telephone with the Nexmo Voice API

Nexmo

However, sometimes it is just entertaining to take a break and make something fun. So, in this walkthrough, we are going to recreate the game of telephone utilizing Ruby on Rails, the Nexmo Voice API, and Google Cloud Platform Speech to Text and Translate APIs. Adding our API credentials. Add API Credentials.

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

Nexmo

However, sometimes it is just entertaining to take a break and make something fun. So, in this walkthrough, we are going to recreate the game of telephone utilizing Ruby on Rails, the Nexmo Voice API, and Google Cloud Platform Speech to Text and Translate APIs. Adding our API credentials. Add API Credentials.

APIs 73
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 110
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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.” FOX Corporation (FOX) produces and distributes news, sports, and entertainment content. “We

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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
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Elevate your marketing solutions with Amazon Personalize and generative AI

AWS Machine Learning

You can use the following code to identify recommended items for users: get_recommendations_response = personalize_runtime.get_recommendations( recommenderArn = workshop_recommender_top_picks_arn, userId = str(user_id), numResults = number_of_movies_to_recommend) For more information, see the Amazon Personalize API reference.