A Markov Categorical Framework for Language Modeling
arxiv.org·1d
🧮Kolmogorov Complexity
Large Language Models
davidtemplin.name·3h·
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🤖Grammar Induction
Machine Learning Fundamentals: k-nearest neighbors example
dev.to·5h·
Discuss: DEV
🗂️Vector Databases
Extensions and Shadows (8)
sites.psu.edu·1d
📐Linear Algebra
An Introduction to Linear Regression Using Baseball Data
runningonnumbers.com·17h·
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📈Linear programming
Compressed Sensing
en.wikipedia.org·20h·
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📐Compression Mathematics
Adaptive Learned Belief Propagation for Decoding Error-Correcting Codes
arxiv.org·18h
🧮Kolmogorov Complexity
State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees
arxiv.org·18h
🎯Performance Proofs
Geometric Operator Learning with Optimal Transport
arxiv.org·18h
🌀Riemannian Computing
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study
arxiv.org·18h
🧠Machine Learning
Provable In-Context Learning of Nonlinear Regression with Transformers
arxiv.org·18h
🧠Machine Learning
Understanding why deterministic output from LLMs is nearly impossible
unstract.com·1d·
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🎯Performance Proofs
Graded Transformers: A Symbolic-Geometric Approach to Structured Learning
arxiv.org·18h
🤖Grammar Induction
Show HN: Gradient-Free ML Algorithm (Available for Contract Work)
news.ycombinator.com·1h·
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🧠Machine Learning
7 Must-Know Machine Learning Algorithms Explained in 10 Minutes
kdnuggets.com·1d
🧠Machine Learning
Practical Implementation of Encoder–Decoder Architecture
adaline.ai·6h·
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🚀SIMD Text Processing
Kolmogorov Arnold Network Autoencoder in Medicine
arxiv.org·18h
🧠Machine Learning
Physics-Informed Neural Networks for Inverse PDE Problems
towardsdatascience.com·8h
🔗Tailscale
Weight Agnostic Neural Networks
weightagnostic.github.io·2d·
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🧠Machine Learning
An Algorithm-to-Contract Framework without Demand Queries
arxiv.org·18h
🎯Performance Proofs