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

AWS Machine Learning - AI

Variability in content volume – They offer a range of content volume, from single-episode films to multi-season series. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors. To evaluate the metadata quality, the team used reference-free LLM metrics, inspired by LangSmith.

Media 107
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Emotional marketing and an e-mail titan walk into a bar

TechCrunch

Here’s what to know: On Equity, we talked about how these abysmal metrics were both a predicted but still surprising effect of Zoom investing. This disconnect is the conversation no one has during an upmarket — and metrics are one way we can benchmark progress. The AWS for blockchain. Men, don’t do this. Across the week.

Marketing 359
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Today’s real story: The Facebook monopoly

TechCrunch

District Court for the District of Columbia put it in his recent decision , “No one who hears the title of the 2010 film ‘The Social Network’ wonders which company it is about.” Second, the FTC must establish that Facebook controls over 60% of the market — the correct metric to establish this is revenue. After all,” as James E.

Social 249
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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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AI agents will transform business processes — and magnify risks

CIO

Our goal is to analyze logs and metrics, connecting them with the source code to gain insights into code fixes, vulnerabilities, performance issues, and security concerns,” he says. We can deploy our agents on AWS, Azure, or GCP, depending on specific project requirements,” he says. “We That’s the first one that’s being tackled.”

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Use Amazon Titan models for image generation, editing, and searching

AWS Machine Learning - AI

In this post, we walk through how to use the Titan Image Generator and Titan Multimodal Embeddings models via the AWS Python SDK. Image generation and editing In this section, we demonstrate the basic coding patterns for using the AWS SDK to generate new images and perform AI-powered edits on existing images.

AWS 114
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Supporting Diverse ML Systems at Netflix

Netflix Tech

Example use case: Content Knowledge Graph Our knowledge graph of the entertainment world encodes relationships between titles, actors and other attributes of a film or series, supporting all aspects of business at Netflix. A key challenge in creating a knowledge graph is entity resolution.

System 94