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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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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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Top 6 innovations from the IBM – AWS GenAI Hackathon

IBM Journey to AI blog

Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries.

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

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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How generative AI is transforming legal tech with AWS

AWS Machine Learning Blog

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. AWS AI and machine learning (ML) services help address these concerns within the industry.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning Blog

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation , enabling organizations to quickly and effortlessly set up a powerful RAG system. On the AWS CloudFormation console, create a new stack. Choose Next.

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Unstructured data management and governance using AWS AI/ML and analytics services

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However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. Let’s understand how these AWS services are integrated in detail.

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