Cryptography for the Everyday Developer: Number Theory for Public Key Cryptography
sookocheff.com·3d
🔢Reed-Solomon Math
VLLM Predicted Outputs
cascadetech.ai·13h·
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💻Local LLMs
Less Is More: Recursive Reasoning with Tiny Networks
github.com·2d·
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📊Quantization
Computational Complexity of Covering Two-vertex Multigraphs with Semi-edges
arxiv.org·2d
🕸️Graph Algorithms
A gentle introduction to Generative AI: Historical perspective
medium.com·9h·
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🧠Learned Codecs
Neural Networks from Scratch in Python: Simpler Than You Think
hamza.se·13h·
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📊Quantization
[P] Lossless compression for 1D CNNs
reddit.com·23h·
📊Quantization
On the Pure Quantum Polynomial Hierarchy and Quantified Hamiltonian Complexity
arxiv.org·2d
⚛️Quantum Algorithms
TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
arxiv.org·2d
🎙️Whisper
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
huggingface.co·2d·
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📊Learned Metrics
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·1d·
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🗄️Database Internals
Show HN: Realization Jsmn on a Pure Zig
github.com·1d·
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🔗Concatenative Programming
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.to·12h·
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⚙️Proof Engineering
Haskell Weekly Issue 493
haskellweekly.news·2d·
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🧬Functional Programming