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davidmezzetti 
posted an update 13 days ago
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1722
Exciting addition coming with the next txtai release: LEMUR for ColBERT-style Late-Interaction Retrieval! 🎉

Contributor @Morgan-coded introduced LEMUR to txtai, making it, as far as we know, the first framework to incorporate LEMUR for late-interaction retrieval using standard, fixed-vector indexes.

Key benefits:

🚀 Significant boost: 49–62% higher NDCG@10 than 2,048-dimensional MUVERA
💾 5x less storage: 2,048 dimensions vs. MUVERA’s default 10,240
📐 Better geometry: Optional batch mean centering addresses anisotropy in token embeddings

A promising step toward making ColBERT-style retrieval more practical with conventional vector search.

Read the full breakdown: https://huggingface.co/blog/NeuML/txtai-lemur
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davidmezzetti 
published an article 14 days ago
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LEMUR and Mean Centering for Late-Interaction Retrieval in txtai

NeuML
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davidmezzetti 
posted an update about 1 month ago
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The year is 1899. It's still a horse and buggy world. Einstein hasn't published his famous annus mirabilis papers setting the foundation for Physics as we understand it today. The world is advancing at a rapid pace roaring into the 1900s. What if AI models were trained in 1899 and given to the best minds of the day? Could there have been alternate paths for discovery on par or perhaps even ahead of where we are in 2026?

Introducing the new H.G. BERT Small series of models. This is a 22.7M parameter BERT encoder-only model trained from scratch ONLY on Historical English Books from 1700 - 1899.

https://huggingface.co/blog/NeuML/hgbert-small
davidmezzetti 
published an article about 1 month ago
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H.G. BERT Small: AI like it's 1899

NeuML
2