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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning Blog

However, as the reach of live streams expands globally, language barriers and accessibility challenges have emerged, limiting the ability of viewers to fully comprehend and participate in these immersive experiences. The extension delivers a web application implemented using the AWS SDK for JavaScript and the AWS Amplify JavaScript library.

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Unlocking the power of Model Context Protocol (MCP) on AWS

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If youre an AI-focused developer, technical decision-maker, or solution architect working with Amazon Web Services (AWS) and language models, youve likely encountered these obstacles firsthand. The MCP is an open standard that creates a universal language for AI systems to communicate with external data sources, tools, and services.

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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

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In this post, we show how to extend Amazon Bedrock Agents to hybrid and edge services such as AWS Outposts and AWS Local Zones to build distributed Retrieval Augmented Generation (RAG) applications with on-premises data for improved model outcomes.

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MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

KDnuggets

It also works with cloud services like AWS SageMaker. Metadata has the models framework, version, and dependencies. MLFlow supports deployment on many platforms. This includes REST APIs, Docker, and Kubernetes. By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: No, thanks!

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Build an Amazon Bedrock based digital lending solution on AWS

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This post demonstrates how you can gain a competitive advantage using Amazon Bedrock Agents based automation of a complex business process. The loan handler AWS Lambda function uses the information in the KYC documents to check the credit score and internal risk score. AWS CDK : 2.143.0 Solutions Architect with AWS India.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning Blog

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal sought to develop natural language processing (NLP) and question-answering capabilities to accurately query and summarize this unstructured data at scale.

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Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)

AWS Machine Learning Blog

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. client( service_name="bedrock-runtime", region_name="us-east-1" ) Define the model to invoke using its model ID.

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