📝 Text Algorithms - abnv · Scour

castnettech/mnemosyne: LLM context compression and retrieval engine. Zero dependencies. Sub-100ms queries. 40-70% token reduction. 🔄Subinterpreters

github.com·5d·r/SideProject·

Lisa Core – semantic compression for AI conversations (80:1 ratio, 100% local) 🔄Incremental Tokenizers

chromewebstore.google.com·1h·Hacker News·

Fujitsu One Compression (LLM Quantization) 📦Compression Algorithms

fujitsuresearch.github.io·1d·Hacker News·

Google Research talks compression technology it says will greatly reduce memory needed for AI processing 💾Cache-Oblivious Algorithms

networkworld.com·3h·

Towards Formal Security Proofs of MQOM 📡Binary Protocols

eprint.iacr.org·2d·

Google TurboQuant and What It Changes in Language Models 🪜Recursive Descent

medium.com·4d·

Autoencoders, VAEs & GANs Explained Simply 🪜Recursive Descent

medium.com·2d·

Google's TurboQuant saves memory, but won't save us from DRAM-pricing hell 🗺️Region Inference

theregister.com·1d·

Compression.zstd – Compression compatible with the Zstandard format 📦Compression Algorithms

docs.python.org·3d·Hacker News·

Googles TurboQuant Changes the Economics of Local AI Inference 🗺️Region Inference

medium.com·4d·

The Sequence Radar #832: Last Week in AI: Compression, Voice, and Why It All Matters 🏁Language Benchmarks

thesequence.substack.com·4d·Substack·

jhammant/Turbo1bit: Turbo1Bit: Combining 1-bit LLM weights (Bonsai) with TurboQuant KV cache compression for maximum inference efficiency. 4.2x KV cache compression + 16x weight compression = ~10x total memory reduction. 🗺️Region Inference

github.com·3h·Hacker News·

Archive Format Guide 2024: ZIP vs 7Z vs RAR vs TAR vs GZIP - Complete Compression Comparison 📦Compression Algorithms

luxa.org·3d·

I Read a Gzip Decompressor Written in 250 Lines of Rust — and Compression Finally Made Sense 📦Compression Algorithms

medium.com

·5d·

TIL: Quantisation ∀Quantified Types

anup.io·5d·

Google's New AI Compression Could Help Lower RAM Prices - Here's How ⚡Cache-Aware Algorithms

bgr.com·5d·

Google research cuts LLM memory use by 6x 📊Memory Profilers

kite.kagi.com·6d·

Pure C implementation of the TurboQuant paper (ICLR 2026) for KV cache compression in LLM inference. 🗺️Region Inference

github.com·1d·r/LocalLLaMA·

mmgehlot/bitpolar: BitPolar: near-optimal vector quantization — 3-8 bit compression with zero training. 58 integrations across every major AI framework. 🎯Bit Vectors

github.com·3d·Hacker News·

yasha1971-coder/aceapex: compression, lossless, lz77, zstd, cplusplus, performance 📦Compression Algorithms

github.com·6d·Hacker News·

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