ML Systems: Motivating Dense Models
jacobkahn.me·3d·
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📊Quantization
Unlocking Hidden Order: Differentiable Entropy as a Code Optimizer
dev.to·1d·
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📊Quantization
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
arxiv.org·1d
📐Compression Bounds
Reflections on Random Kitchen Sinks
archives.argmin.net·1d·
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🧮Kolmogorov Bounds
Hilbert space: treating functions as vectors
eli.thegreenplace.net·10h
📐Linear Algebra
MobileNetV1 Paper Walkthrough: The Tiny Giant
towardsdatascience.com·2d
⧗Information Bottleneck
Principal Component Analysis (PCA) in Machine Learning: A Beginner’s Guide
dev.to·18h·
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📐Vector Dimensionality
Autonomous Artifact Classification in Gigapixel Pathology Slides via Hyperdimensional Feature Mapping
dev.to·11h·
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📄Document Digitization
Parallelization Strategies in Neural Networks
nwktimes.blogspot.com·16h·
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🌊Streaming Algorithms
Is class imbalance a problem in machine learning?
datascience.stackexchange.com·1d·
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🧮Kolmogorov Bounds
Multi Attribute Bias Mitigation via Representation Learning
arxiv.org·1d
📊Learned Metrics
LLMs from Scratch Using Middle School Math – TDS Archive
medium.com·2d·
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📊Quantization
The maths you need to start understanding LLMs
dev.to·11h·
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💻Local LLMs
AI Autopilot for Your Optimization Algorithms
dev.to·5h·
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⚡Incremental Computation
Show HN: Reverse vs. Vectorized Forward Ad: A Performance Exploration in C
raph5.github.io·13h·
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⚡SIMD Vectorization
Fractal Compression
en.wikipedia.org·1d·
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🌀Fractal Compression
The Perceptron
jontysinai.github.io·1d·
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🔲Cellular Automata
Cracking the Sparse Reward Code: Finding the Hidden Order in AI's Learning Signals
dev.to·13h·
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🔲Cellular Automata
The (sometimes rocky) road to a paper
lmao.bearblog.dev·2d·
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🎯Performance Proofs
Binary Quantization For LLMs Through Dynamic Grouping
arxiv.org·2d
💻Local LLMs