A small rant about compression
codecs.multimedia.cx·14h
📦Deflate
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·3h
🧠Learned Codecs
How JPEG Works: The Subtle Beauty and Art of Imperfection
techspot.com·2h
🖼️JPEG XL
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
huggingface.co·29m·
Discuss: Hacker News
📊Learned Metrics
Introducing OpenZL: An Open Source Format-Aware Compression Framework
engineering.fb.com·2d·
Discuss: Lobsters, Hacker News, r/cpp, r/programming
⚡Modern Compression
Neural Network-Based Anomaly Detection in CI/CD Pipelines: A Technical Overview
dev.to·4h·
Discuss: DEV
🔍Vector Forensics
DCP-o-matic • Re: LtRt Matrix Decoder
dcpomatic.com·1d
🎬Cinema Codecs
Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
arxiv.org·3h
🧠Neural Compression
ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks
arxiv.org·1d
🌀Riemannian Computing
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
github.com·1d·
Discuss: Hacker News
⚡Modern Compression
LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
arxiv.org·3h
📊Learned Metrics
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
arxiv.org·1d
⧗Information Bottleneck
Own your AI: Learn how to fine-tune Gemma 3 270M and run it on-device
developers.googleblog.com·9h
💻Local LLMs
Doing Math with Embeddings for Better AI Ad Targeting
ethicalads.io·8h·
Discuss: Hacker News
📊Feed Optimization
Not all bits are made equal
shash42.substack.com·11h·
Discuss: Substack
🧠Intelligence Compression
Compressed Convolutional Attention: Efficient Attention in a Compressed Latent Space
arxiv.org·2d
⧗Information Bottleneck
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
arxiv.org·1d
💨Cache Optimization
Three Solutions to Nondeterminism in AI
blog.hellas.ai·19h·
Discuss: Hacker News
🎯Performance Proofs
Experimental Proof: MENT-Flow Achieves Consistency with MENT Solutions for Beam Reconstruction
hackernoon.com·2d
🧠Learned Codecs
Adaptive AI: Neural Networks That Learn to Conserve
dev.to·4d·
Discuss: DEV
📊Quantization