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🤖Making robots to help people learn things quicker 👩🏻‍🚀🚀

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liked a dataset 1 day ago
google/WaxalNLP
updated a collection 1 day ago
cool datasets
reacted to OzTianlu's post with 😎 2 days ago
We deleted the Embedding Layer -- INTRO Our Collins-Embedding-3M https://huggingface.co/NoesisLab/Collins-Embedding-3M Most "small" models are just giant vocab tables in a trench coat. Collins-3M changes that. By using 2-Universal Hashing and Chernoff-bound noise suppression, we’ve collapsed the embedding space into a fixed O(1) hash-map. * STSB: 0.7114 (Beating many 100M+ models) * Size: 3M (Edge-ready, IoT-ready) * Tech: Randomized Sign-Hashing + RoPE positional injection. Built by NoesisLab
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