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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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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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Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. So the application started to go from the pure software-engineering/machine-learning domain to industry and the sciences, essentially.

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Google’s Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. So the application started to go from the pure software-engineering/machine-learning domain to industry and the sciences, essentially.

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. Version control for code is common in software development, and the problem is mostly solved.