Remove Big Data Remove Metadata Remove Responsible AI
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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 112
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Meta unveils SeamlessM4T multimodal translation model

AI News

Additionally, the metadata of SeamlessAlign – the largest multimodal translation dataset ever compiled, consisting of 270,000 hours of mined speech and text alignments – has been released. This facilitates independent data mining and further research within the community. The code, model, and data can be downloaded on GitHub.

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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

This request contains the user’s message and relevant metadata. Consider integrating Amazon Bedrock Guardrails to implement safeguards customized to your application requirements and responsible AI policies. The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

You then format these pairs as individual text files with corresponding metadata JSON files , upload them to an S3 bucket, and ingest them into your cache knowledge base. Previously, Karam developed big-data analytics applications and SOX compliance solutions for Amazons Fintech and Merchant Technologies divisions.

LLM 112
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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning Blog

This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. Twilio’s use case Twilio wanted to provide an AI assistant to help their data analysts find data in their data lake.

Metadata 115
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support.