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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
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🧠Learned Compression
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Opening the Black Box of Deep Neural Networks via Information
paperium.net·1d·
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🧠Machine Learning
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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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Book Review: Why Machines Learn
philippdubach.com·1d·
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🧠Machine Learning
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
⚡Parallel Computing
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·9h
📝ABNF Parsing
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🎲 The Automatic Grover Algorithm
lucamarx.com·1d
⚛️Quantum Algorithms
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
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📊Quantization
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Courses with certificates
codefinity.com·17h
🧠Neural Codecs
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·4h·
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📝Text Parsing
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Everything Is a Number
francescocarlucci.com·1d·
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🎯Arithmetic Coding Theory
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Gaussian concentration bounds for probabilistic cellular automata | Journal of Statistical Physics
link.springer.com·1d
🔲Cellular Automata
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Building a Neural Network from scratch
pub.towardsai.net
·2d
🧠Machine Learning
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You Do NOT need augmentations to train your Classifiers!!
dev.to·10h·
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📊Learned Metrics
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📐Compression Mathematics
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Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
dev.to·21h·
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🧮Vector Embeddings
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An introduction to modular induction and some attempts to solve it
lesswrong.com·4d
🔲Cellular Automata
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The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel
towardsdatascience.com·5d
🗂️Vector Databases
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.org·2d
🧠Learned Compression
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