Generating Synthetic Data with AI

on YouTube ↗09m

" summary

Demo shows Python and pandas in Google Colab calling gretel.ai to train on a 1.68 MB US Census production sample (14,000 rows) then generate about 9,300,000 records (~1 GB) in roughly ten minutes on a single CPU, outputting a CSV that is synthetic and anonymized, safe for testing and demos. Creation uses Gretel’s amplify config, free-tier limits at 5 GB, and the generated data loads back into a DataFrame for reuse or storage in S3.

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