Embedding Quantization, Dimensionality Reduction, HNSW Indexing, Latent Space Transformations, Embedding Distillation
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·14h
Who Would Win: A State-of-the-Art Foundation Model or a Neural Net?
pub.towardsai.net·2h
Multimodal LLMs and the human brain create object representations in similar ways, study finds
techxplore.com·7h
Speaker ID, Database Timeouts & Content Hashing
askthegame.bearblog.dev·18h
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·14h
Introduction to Problem of Language Modeling
infinitely-fallible.bearblog.dev·21h
Iterative Quantum Feature Maps
arxiv.org·14h
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