Using LLMs for Data Augmentation: Best Practices and Techniques
This story is from 2026-09-23. It is preserved in the archive; the latest stories are on the live feed.
We are going to build a synthetic data generator that expands a small set of labeled customer support tickets into a full training dataset for intent classification. This is useful when you need to bootstrap a classifier but only have a handful of trusted examples per label. What you'll need Python…
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- 2026-09-23 07:36 · DEV Community — AI
Using LLMs for Data Augmentation: Best Practices and Techniques