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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. This will provision the backend infrastructure and services that the sales analytics application will rely on.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. As a result, building such a solution is often a significant undertaking for IT teams.

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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

Its the kind of ambitious mission that excites me, not just because of its bold vision, but because of the incredible technical challenges it presents. Rahul has over twenty years of experience in technology and has co-founded two companies, one focused on analytics and the other on IP-geolocation.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. Implementing uniform policies across different systems and departments presents significant hurdles.

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How Aetion is using generative AI and Amazon Bedrock to translate scientific intent to results

AWS Machine Learning

At the core of the Aetion Evidence Platform (AEP) are Measureslogical building blocks used to flexibly capture complex patient variables, enabling scientists to customize their analyses to address the nuances and challenges presented by their research questions. The following diagram illustrates the solution architecture.