Learning languages with the help of algorithms
johndcook.com·1d·
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🧮Kolmogorov Bounds
Parallelizable Feynman-Kac Models for Universal Probabilistic Programming
arxiv.org·1d
🧮Kolmogorov Bounds
Latent trees
languagelog.ldc.upenn.edu·7h
🤖Grammar Induction
Thermodynamically Optimized Data Batching via Information-Theoretic Reservoir Sampling in HBM
dev.to·13h·
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🌊Streaming Compression
Worth Reading 091925
rule11.tech·4h
🕸️Mesh Networking
An Interactive Guide to 4 Fundamental Computer Vision Tasks Using Transformers
towardsdatascience.com·5h
🤖Advanced OCR
Language Models Pack Billions of Concepts into 12,000 Dimensions
nickyoder.com·4d·
🧠Machine Learning
Building sub-100ms autocompletion for JetBrains IDEs
blog.sweep.dev·2h·
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🔨Compilers
Emergent Alignment via Competition
arxiv.org·15h
🔲Cellular Automata
Joint Scheduling and Multiflow Maximization in Wireless Networks
arxiv.org·15h
📡Network Calculus
On the complexity of unique quantum witnesses and quantum approximate counting
arxiv.org·15h
⚛️Quantum Circuits
Should GPUs Make Free Trade Agreements?
doubleword.ai·2h·
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🌊Streaming Algorithms
Smarter Pixels: Turbocharging Visual AI with Semantic Compression by Arvind Sundararajan
dev.to·1d·
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🧠Neural Compression
Large Language Model probabilities cannot distinguish between possible and impossible language
arxiv.org·15h
💻Programming languages
Such a Classic
blog.hermesloom.org·2d·
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🧠Intelligence Compression