Autodata: An agentic data scientist to create high quality synthetic data
7d agoen
From the article
Authors: Ilia Kulikov, Chenxi Whitehouse, Tianhao Wu, Yixin Nie, Swarnadeep Saha, Eryk Helenowski, Weizhe Yuan, Olga Golovneva, Jack Lanchantin, Yoram Bachrach, Jakob Foerster, Xian Li, Han Fang, Sainbayar Sukhbaatar, Jason Weston
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Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
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Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

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