David Mezzetti

davidmezzetti

https://github.com/davidmezzetti

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updated a model 2 days ago

NeuML/colbert-muvera-nano

updated a model 2 days ago

NeuML/colbert-muvera-pico

updated a model 2 days ago

NeuML/colbert-muvera-femto

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posted an update about 2 months ago

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168

We're excited to release the new BiomedBERT Small series of models. These 22.7M parameter models, trained for medical literature, are similarity sized to the popular all-MiniLM-v2 models and pack quite a punch.

Read more here: https://huggingface.co/blog/NeuML/biomedbert-small

posted an update 5 months ago

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241

Do you like to "think" in Jupyter Notebooks? Want to integrate OpenCode with that? Then check this project out.

NCoder is an open-source AI coding agent that connects a local running OpenCode server to a Jupyter Notebook via TxtAI.

https://github.com/neuml/ncoder

replied to their post 5 months ago

There is nothing inherent about it that requires a GPU. Did you run into an issue?

replied to their post 5 months ago

Thank you!

replied to their post 5 months ago

The training dataset is from here: https://hf.co/datasets/mecha-org/linux-command-dataset

posted an update 5 months ago

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1198

Tired of paying a bunch of money for large LLMs? Then read this notebook and/or watch this video on how to distill knowledge into tiny LLMs.

Notebook: https://github.com/neuml/txtai/blob/master/examples/80_Distilling_Knowledge_into_Tiny_LLMs.ipynb
Video: https://www.youtube.com/watch?v=Ol560ktgkf0

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posted an update 5 months ago

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2208

🥃 Distilling Tiny Embeddings. We're happy to build on the BERT Hash Series of models with this new set of fixed dimensional tiny embeddings models.

Ranging from 244K parameters to 970K and 50 dimensions to 128 dimensions these tiny models pack quite a punch.

Use cases include on-device semantic search, similarity comparisons, LLM chunking and Retrieval Augmented Generation (RAG). The advantage is that data never needs to leave the device while still having solid performance.

https://huggingface.co/blog/NeuML/bert-hash-embeddings

posted an update 6 months ago

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2992

🧬⚕️🔬 Encoding the World's Medical Knowledge into 970K! We're excited to release this new series of vector embeddings models for medical literature based on our recent BERT Hash work.

And you read it right, we're talking 970,000 parameters for a surprisingly strong performing model. Enjoy!

https://huggingface.co/blog/neuml/biomedbert-hash-nano

posted an update 6 months ago

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258

💥 Excited to publish our revamped Introducing TxtAI article using our brand new Hugging Face Teams account! 🤗

https://huggingface.co/blog/neuml/txtai

replied to maxiw's post over 1 year ago

@maxiw Excellent work with this dataset. It inspired me to run some further analysis using graph networks and agents. See below. Thank you for putting this dataset together!

Article | Notebook | Embeddings Database

David Mezzetti

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