We tried out Google’s new family of multi-modal models with variants compact enough to work on local devices. They work well.

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

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 ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

This directory contains examples for BERT PTQ/QAT related training. mpirun -np 4 -H localhost:4 \ --allow-run-as-root -bind-to none -map-by slot \ -x NCCL_DEBUG=INFO ...

Everything on the electromagnetic spectrum has some properties of both waves and particles, but it’s difficult to imagine a radio wave, for example, behaving like a particle. The main evidence for ...

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

Writing about AI, tech, and startups. with a focus on practical insights for builders, founders, and creators. Writing about AI, tech, and startups. with a focus on practical insights for builders, ...

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...

I'm diving deep into the intersection of infrastructure and machine learning. I'm fascinated by exploring scalable architectures, MLOps, and the latest advancements in AI-driven systems ...