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Revolutionizing knowledge management: VW’s AI prototype journey with AWS

AWS Machine Learning

Today, we’re excited to share the journey of the VW —an innovator in the automotive industry and Europe’s largest car maker—to enhance knowledge management by using generative AI , Amazon Bedrock , and Amazon Kendra to devise a solution based on Retrieval Augmented Generation (RAG) that makes internal information more easily accessible by its users.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

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Evaluating prompts at scale with Prompt Management and Prompt Flows for Amazon Bedrock

AWS Machine Learning

Many organizations struggle to consistently create and effectively evaluate their prompts across their various applications, leading to inconsistent performance and user experiences and undesired responses from the models. For guidance, follow the instructions in Manage access to Amazon Bedrock foundation models. Choose Create.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

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Providing The Ultimate User Experience: What You Need To Know About Interactive Document Software

Ecrion

PDF documents are quite popular on both personal and professional levels. The need to create better looking documents raises the need to use interactive document software. By using a customer experience management platform, you increase your customer’s level of engagement.

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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

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Detect signatures on documents or images using the signatures feature in Amazon Textract

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Signatures is a feature within Amazon Textract that offers the ability to automatically detect signatures on any document. Lastly, we share some best practices for using this feature.