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Build a custom UI for Amazon Q Business

AWS Machine Learning

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 99
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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 118
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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. The data scientist is now able to describe and monitor the test pipeline run status using SageMaker API calls from the dev account.

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Run machine learning enablement events at scale using AWS DeepRacer multi-user account mode

AWS Machine Learning

Consult your IdP’s documentation for more details. You can further personalize this page to gather additional user data (such as the user’s DeepRacer AWS profile or their level of AI and ML knowledge) or to add event marketing and training materials. For more information, refer to Send email by using the Amazon Pinpoint API.

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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture.

Scripts 100
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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. These tools have enabled Patsnap’s global customers to have a better understanding of patents, track recent technological advances, identify innovation trends, and analyze competitors in real time. client('sts').get_caller_identity()['Account']

APIs 70
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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

Accessibility of digital content for blind and low vision – This is primarily enabled by assistive technologies such as screenreaders, Braille systems that allow touch reading and writing, and special keyboards for navigating websites and applications across the internet. Tanvi Singhal is a Data Scientist within AWS Professional Services.