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Process formulas and charts with Anthropic’s Claude on Amazon Bedrock

AWS Machine Learning Blog

This enables the efficient processing of content, including scientific formulas and data visualizations, and the population of Amazon Bedrock Knowledge Bases with appropriate metadata. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices.

Metadata 108
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Patterns in the Noise: Visualizing the Hidden Structures of Unstructured Documents

ODSC - Open Data Science

Each text, including the rotated text on the left of the page, is identified and extracted as a stand-alone text element with coordinates and other metadata that makes it possible to render a document very close to the original PDF but from a structured JSONformat.

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Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows

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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The Role of DevSecOps in Ensuring Data Privacy and Security in Data Science Projects

ODSC - Open Data Science

DevSecOps includes all the characteristics of DevOps, such as faster deployment, automated pipelines for build and deployment, extensive testing, etc., In this case, the provenance of the collected data is analyzed and the metadata is logged for future audit purposes.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning Blog

The examples focus on questions on chunk-wise business knowledge while ignoring irrelevant metadata that might be contained in a chunk. By following these guidelines, organizations can follow responsible AI best practices for creating high-quality ground truth datasets for deterministic evaluation of question-answering assistants.

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Data Management Principles Underpinning the Use of Terraform Remote Backend

ODSC - Open Data Science

These files contain metadata, current state details, and other information useful in planning and applying changes to infrastructure. This is critical especially when multiple DevOps team members are working on the configuration. In Terraform, the state files are important as they play a crucial role in monitoring resources.

DevOps 52