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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Using the job ID and message ID returned by the previous request, the client connects to the WebSocket API and sends the job ID and message ID to the WebSocket connection. His focus area is on Data, Analytics and Generative AI.

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale.

Scripts 91
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Streamline Sales Processes with Enterprise CPQ

Cincom

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Transform sales operations today and realize the benefits of industry-leading technology propelling enterprises forward.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Their clients have provided some basic public information during sign-up, such as state of location, industry vertical, company size, and their mission statement. Consider incorporating subtle animations or transitions Hero Section: - Choose an attention-grabbing background color and font that aligns with the client's industry. -.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 141
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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning

The market size for multilingual content extraction and the gathering of relevant insights from unstructured documents (such as images, forms, and receipts) for information processing is rapidly increasing. A predefined JSON schema can be provided to the Rhubarb API, which makes sure the LLM generates data in that specific format.

APIs 99