Post
2274
Several methods/models have recently been shared to generate synthetic data from minimal or no initial seeds, essentially creating data directly from raw text.
IMO, these approaches that rely on smaller models for synthetic data generation are quite valuable for scaling up synthetic data and democratizing access to creating domain-specific synthetic datasets.
I've compiled a collection of Gradio demos showcasing some of these methods here: davanstrien/synthetic-data-generation-demos-667573f248b97360ff3668a5
IMO, these approaches that rely on smaller models for synthetic data generation are quite valuable for scaling up synthetic data and democratizing access to creating domain-specific synthetic datasets.
I've compiled a collection of Gradio demos showcasing some of these methods here: davanstrien/synthetic-data-generation-demos-667573f248b97360ff3668a5
