1-bit Quantization, Hamming Distance, Sparse Representations, Memory Efficiency
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.orgยท19h
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.comยท7h
Iterative Quantum Feature Maps
arxiv.orgยท19h
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.orgยท1d
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.comยท1d
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