nihalnayak/dataset_selection
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Nihal Nayak
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Update modeling_nvembed.py
#44 opened 24 days ago
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Use in Ollama/lm studio etc
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#1 opened 11 months ago
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Clausss
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I just created a Spaces demo for Bonito!
Link: https://huggingface.co/spaces/nihalnayak/bonito
Feel free to clone/copy the code and add it to your collection.
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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.
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
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about 1 year ago
@davanstrien Thanks for the wonderful demos! Just wanted to highlight that we recently released Bonito, an open-source model that converts user's raw text into instruction tuning dataset. It would be awesome if you could add our model to the collection! Happy to help :)
Model: https://huggingface.co/BatsResearch/bonito-v1
Paper: https://arxiv.org/abs/2402.18334
GitHub: https://github.com/BatsResearch/bonito
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