Remove ML Remove Natural Language Processing Remove System Architecture
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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.

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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.

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. This process involves the utilization of both ML and non-ML algorithms. For more detailed information, refer to the GitHub repo.

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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. He specializes in generative AI, machine learning, and system design.

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A Guide to LLMOps: Large Language Model Operations

Heartbeat

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). Deployment : The adapted LLM is integrated into this stage's planned application or system architecture.

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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.

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