Researchers have developed an open-source framework called Fondant to simplify and accelerate large-scale data processing. It includes embedded tools for data download, exploration, and processing. They have also created a data-processing pipeline to generate datasets of Creative Commons images for training latent diffusion image generation models. Fondant-cc-25m contains 25 million image URLs with Creative Commons license information. The researchers are also working on adding additional components to the framework in the future.
Large-scale Data Processing Simplified with Fondant
Large-scale data processing, which involves handling and analyzing vast amounts of data, is crucial in various fields like business, science, and healthcare. Fondant is a new open-source framework that aims to simplify and speed up data processing tasks. It comes with embedded tools that allow users to download, explore, and process data. Researchers have also developed data-processing pipelines using Fondant to create 500 million datasets of Creative Commons images for training generative AI models. Fondant-cc-25m contains 25 million image URLs with their Creative Commons license information, which can be easily accessed. To execute the pipelines locally, users need to have Docker installed in their systems with sufficient RAM allocated.
Practical AI Solutions for Middle Managers
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