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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Flipboard

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. The decoupled nature of the endpoints also provides flexibility to update or replace individual models without impacting the broader system architecture.

AWS 110
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Unbundling the Graph in GraphRAG

O'Reilly Media

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. For example, a mention of “NLP” might refer to natural language processing in one context or neural linguistic programming in another.

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Innovating at speed: BMW’s generative AI solution for cloud incident analysis

AWS Machine Learning Blog

It requires checking many systems and teams, many of which might be failing, because theyre interdependent. Developers need to reason about the system architecture, form hypotheses, and follow the chain of components until they have located the one that is the culprit.

AWS 112
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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

He is focusing on system architecture, application platforms, and modernization for the cabinet. The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution. Amazon Connect directs some incoming calls to the virtual agent (Max) by identifying the caller number.

AWS 100
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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Solution overview The following figure illustrates our system architecture for CreditAI on AWS, with two key paths: the document ingestion and content extraction workflow, and the Q&A workflow for live user query response. In the following sections, we dive into crucial details within key components in our solution.

AWS 107
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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Amazon Bedrock: NLP text generation – Amazon Bedrock uses the Amazon Titan natural language processing (NLP) model to generate textual descriptions.

AWS 119
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

In this section, we briefly introduce the system architecture. About the Authors Lana Zhang is a Senior Solutions Architect at AWS WWSO AI Services team, specializing in AI and ML for Content Moderation, Computer Vision, Natural Language Processing and Generative AI.

AWS 116