InfoQ

Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
IEEE

Two-Bit Quantization and Its Priority Under Low Sampling Rate

Abstract: In recent years, extreme quantization methods-particularly one-bit quantization-have garnered significant attention in signal processing and data acquisition systems. While one-bit ...
GitHub

E₈ Lattice Quantization with Entropy Coding for LLM KV Cache Compression

LatticeQuant E₈ Lattice Quantization with Entropy Coding for LLM KV Cache Compression LatticeQuant is a research framework for KV cache compression in large language models, combining lattice ...
GitHub

Optimizing Generative AI on Arm Processors

Welcome to Optimizing Generative AI on Arm Processors, a hands-on course designed to help you optimize generative AI workloads on Arm architectures. Through practical labs and structured lectures, you ...
Forbes

How Solopreneurs Can Use Vibe Coding To Do The Work Of An Entire Team

Forbes contributors publish independent expert analyses and insights. Aytekin Tank is the founder and CEO of Jotform. Vibe coding agents like Claude Code are generating more than a lot of code right ...
IEEE

Time Encoding Quantization of Bandlimited and Finite-Rate-of-Innovation Signals

Abstract: This paper studies the impact of quantization in integrate-and-fire time encoding machine (IF-TEM) sampler used for bandlimited (BL) and finite-rate-of ...