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AWS Glue for Handling Metadata

Analytics Vidhya

The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. It provides organizations with […].

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Using the metadata service to identify disks in your VSI with IBM Cloud VPC

IBM Journey to AI blog

If we log in to the VSI, we can see the volume disks: [root@test-metadata ~]# ls -la /dev/disk/by-id total 0 drwxr-xr-x. vdb If we want to find the data volume named test-metadata-volume , we see that it is the vdd disk. Recently, IBM Cloud VPC introduced the metadata service. 2 root root 200 Apr 7 12:58. drwxr-xr-x.

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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning Blog

To refine the search results, you can filter based on document metadata to improve retrieval accuracy, which in turn leads to more relevant FM generations aligned with your interests. With this feature, you can now supply a custom metadata file (each up to 10 KB) for each document in the knowledge base. Virginia) and US West (Oregon).

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Google AI Introduces Croissant: A Metadata Format for Machine Learning-Ready Datasets

Marktechpost

Database metadata can be expressed in various formats, including schema.org and DCAT. ML data has unique requirements, like combining and extracting data from structured and unstructured sources, having metadata allowing for responsible data use, or describing ML usage characteristics like training, test, and validation sets.

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Metadata: 5 reasons why you should understand its analytical value

SAS Software

Traditional metadata solutions focus on understanding how data and processes in a deployment relate to each other and how process changes [.] Metadata: 5 reasons why you should understand its analytical value was published on SAS Voices by Liz McIntosh

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Metadata Metamorphosis: from plain Data to Enhanced insights with Retrieval Augmented Generation

Mlearning.ai

Discover how metadata, the hidden gem of your knowledge base, can be transformed into a powerful tool for enriching your RAG pipeline and… Continue reading on MLearning.ai »

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Using Images and Metadata for Product Fuzzy Matching with Zingg

databricks

Product matching is an essential function in many retail and consumer goods organizations. Incoming products are compared to items in the existing product.