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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning Blog

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata.

Metadata 102
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How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning Blog

The embedding representations of text chunks along with related metadata are indexed in OpenSearch Service. In this step, the user asks a question about the ingested documents and expects a response in natural language. The application uses Amazon Textract to get the text and tables from the input documents.

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Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning Blog

This layer serves as the cornerstone for secure, compliant, and agile consumption of FMs through the Generative AI Gateway, promoting responsible AI practices within the organization. This table will hold the endpoint, metadata, and configuration parameters for the model.

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11 Trending LLM Topics Coming to ODSC West 2024

ODSC - Open Data Science

This talk will also cover the implementation of the RAISE framework, which stands for Responsible AI Security Engineering, designed to provide a step-by-step approach to building secure and resilient AI systems.

LLM 52
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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?

Metadata 134
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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

However, model governance functions in an organization are centralized and to perform those functions, teams need access to metadata about model lifecycle activities across those accounts for validation, approval, auditing, and monitoring to manage risk and compliance. An experiment collects multiple runs with the same objective.

ML 84
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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning Blog

required=True, ) }, ), ] ), After the Amazon Bedrock agent determines the API operation that it needs to invoke in an action group, it sends information alongside relevant metadata as an input event to the Lambda function. With a software engineering background, he embraces infrastructure as code and is passionate about all things security.