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🧮 Kolmogorov Complexity

Algorithmic Information Theory, Minimum Description Length, Compression Bounds, Information Content

How to reason from first principles
caseyhandmer.wordpress.com·9h
🎯Proof Tactics
Students, here are 5 key things to know when learning how to train large language models
techradar.com·1d
💻Local LLMs
Training a Chunker with Burn
elijahpotter.dev·7h·
Discuss: Hacker News
📝Concrete Syntax
Good binding data is all you need
leashbio.substack.com·4h·
Discuss: Substack
🗂️Vector Databases
Incomplete Multiview Learning via Wyner Common Information
arxiv.org·2d
⧗Information Bottleneck
Canonical Bayesian Linear System Identification
arxiv.org·1d
🧠Machine Learning
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
arxiv.org·1d
🧠Machine Learning
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·18h·
Discuss: r/MachineLearning
📊Learned Metrics
Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning
arxiv.org·1d
🌳Context free grammars
Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems
towardsdatascience.com·6h
💻Local LLMs
Translation using deep neural networks – Transformer
aamster.github.io·2d·
Discuss: Hacker News
🧠Neural Codecs
Langevin Flows for Modeling Neural Latent Dynamics
arxiv.org·1d
🧠Machine Learning
DCR: Quantifying Data Contamination in LLMs Evaluation
arxiv.org·1d
✨Effect Handlers
Relative Entropy Pathwise Policy Optimization
arxiv.org·1d
🧮Kolmogorov Bounds
Machine Learning for Evolutionary Graph Theory
arxiv.org·3d
🕸️Graph Algorithms
MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.to·12h·
Discuss: DEV
🧭Content Discovery
C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images
arxiv.org·1d
🌀Fractal Compression
Spatial Lifting for Dense Prediction
arxiv.org·2d
🧠Machine Learning
Language Models for Adult Service Website Text Analysis
arxiv.org·1d
📝Text Parsing
KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation
arxiv.org·3d
🧠Intelligence Compression
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