Several methods/models have recently been shared to generate synthetic data from minimal or no initial seeds, essentially creating data directly from raw text.
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Several methods/models have recently been shared to generate synthetic data from minimal or no initial seeds, essentially creating data directly from raw text.
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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. 
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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. 
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I've compiled a collection of Gradio demos showcasing some of these methods here: 
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I've compiled a collection of Gradio demos showcasing some of these methods here: 
https://huggingface.co/collections/davanstrien/synthetic-data-generation-demos-667573f248b97360ff3668a5
davanstrien/synthetic-data-generation-demos-667573f248b97360ff3668a5
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https://huggingface.co/collections/davanstrien/synthetic-data-generation-demos-667573f248b97360ff3668a5
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: https://huggingface.co/collections/davanstrien/synthetic-data-generation-demos-667573f248b97360ff3668a5
❤️
instruction-pretrain Clausss Taylor658 nihalnayak osanseviero nanyy1025
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atayloraerospace
Taylor658
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Nihal Nayak
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Daniel van Strien
davanstrien
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