Machine Learning
The Shrinking Universe of Numbers: FP4 and the Precision Revolution in Computing
4/18/2026

LLMs
Google's TurboQuant Compression Enables Faster LLM Inference on Modest Hardware
4/15/2026

Machine Learning
TQ4_1S Weight Compression: Breakthrough in Model Quantization for llama.cpp
4/4/2026

LLMs
PrismML's 1-bit LLM breakthrough could revolutionize on-device AI
4/4/2026

Machine Learning
SALOMI: When Binary Transformers Meet Reality - A Research Deep Dive
4/2/2026

AI
TurboQuant is a big deal, but it won't end the memory crunch • The Register
4/2/2026

Machine Learning
Google's TurboQuant slashes AI memory demands by 6x while boosting GPU performance
3/26/2026

LLMs
Unsloth Releases Comprehensive Guide for Running Alibaba's Qwen3.5 Models Locally
3/8/2026
AI
The Architecture of AI Understanding: Matthew Explains' Technical Journey
3/4/2026

LLMs
llmfit: Bridging the Gap Between Local LLM Ambition and Hardware Reality
3/2/2026

LLMs
Unsloth Dynamic 2.0 GGUFs: New Quantization Method Outperforms Industry Standards
2/28/2026

LLMs
ZSE: A Memory-Efficient LLM Inference Engine with Smart Resource Orchestration
2/26/2026

Chips
How Taalas 'Prints' LLM Models Onto Silicon Chips
2/22/2026