Efficient Neural Network Pruning via Adaptive Spectral Density Shaping
dev.to·2d·
Discuss: DEV
📊Quantization
Individual URL compression experiment initial thoughts
notes.volution.ro·10h·
Discuss: Hacker News
📝Text Compression
How I learn about generative AI
blog.pamelafox.org·11h·
Discuss: www.blogger.com
🎧Learned Audio
DeCoT: Decomposing Complex Instructions for Enhanced Text-to-Image Generation with Large Language Models
arxiv.org·13h
🚀SIMD Text Processing
GPT-OSS from the Ground Up
cameronrwolfe.substack.com·45m·
Discuss: Substack
💻Local LLMs
The Multimedia Renaissance
giannirosato.com·10h·
Discuss: Lobsters, Hacker News
🎬AV1 Encoding
Show HN: OnPair – String compression with fast random access (Rust, C++)
github.com·1h·
Discuss: Hacker News
📦Deflate
Compressive Meta-Learning
arxiv.org·1d
🧠Machine Learning
Building Code Retrieval for Claude Code from Scratch
zc277584121.github.io·2h·
Discuss: Hacker News
🌳Incremental Parsing
Adaptive Lossless Compression via Dynamic Contextual Entropy Modeling
dev.to·2d·
Discuss: DEV
🌊Streaming Compression
The Bias-Variance Trade-Off: A Visual Explainer
machinelearningmastery.com·5h
📊Learned Metrics
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining
blog.datologyai.com·1d·
Discuss: Hacker News
🌀Brotli Dictionary
Synchronization and semantization in deep spiking networks
arxiv.org·13h
🧠Neural Codecs
Versatile Video Tokenization with Generative 2D Gaussian Splatting
arxiv.org·1d
📄Document Streaming
Marketplace: my first attempt at training without backprop on GPU efficiently
fangpenlin.com·1d
🔍Vector Forensics
ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification
arxiv.org·13h
🧠Machine Learning
How to model the world? Introduction to Laplace Neuron
abibulic.github.io·3h·
Discuss: Hacker News
🔲Cellular Automata
Real-Time Dynamic Range Compression via Adaptive Kernel Regression in Mobile ISP Pipelines
dev.to·5h·
Discuss: DEV
🎬Video Codecs
LLM from scratch, part 18 – residuals, shortcut connections, and the Talmud
gilesthomas.com·21h·
Discuss: Hacker News
📊Quantization
Unsupervised Pairwise Learning Optimization Framework for Cross-Corpus EEG-Based Emotion Recognition Based on Prototype Representation
arxiv.org·13h
📊Learned Metrics