IEEE

SLDATU: Short–Long Distance Attention Transformer-Based U-Net for Hyperspectral Image Classification

Abstract: Transformer usually achieves good performance in hyperspectral image classification (HSIC), and existing transformer-based HSIC methods still face multiple challenges, such as insufficient ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
XDA Developers on MSN

Ollama is still the easiest way to start local LLMs, but it's the worst way to keep running them

Ollama is great for getting you started... just don't stick around.
HackadayOpinion

The Use Of LLM Chatbots And Human Cognitive Surrender

What is the long-term effect of using LLM chatbots for daily tasks? According to a study (DOI link) by Steven D Shaw and ...

LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it

AI agents are replacing traditional search for serious work — and LLM-referred traffic converts at 30-40%, far above SEO and ...
eWeek

Claude Cheat Sheet: A Complete Guide to Anthropic’s AI

Claude is Anthropic’s AI assistant for writing, coding, analysis, and enterprise workflows, with newer tools such as Claude ...
IEEE

A Lightweight Transformer-Based Early-Stage Fault Identification Method for Tunnel Boring Machine Main Bearings With Limited Data

Abstract: Tunnel boring machine (TBM) main bearings are critical components that require continuous condition monitoring but are physically inaccessible during tunneling. They feature ultralarge ...