Neural Codecs, Deep Learning, Entropy Models, Rate-Distortion
Students, here are 5 key things to know when learning how to train large language models
techradar.com·9h
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
arxiv.org·22h
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·22h
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·9h
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