At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Rahul Jadon is at the intersection of the latest innovation and practical influence as the world transitions to AI-driven, cloud-native ecosystems. A Principal Software Engineer with over a decade of ...
Abstract: Achieving uniform Pareto front (PF) approximations across various PF geometries and dimensions is a significant challenge. Most multi-objective evolutionary algorithms (MOEAs) that adapt a ...
Abstract: Decision-making and control play a crucial role in autonomous driving to ensure the safety and efficiency of vehicle operation. With the development of intelligent driving technology, ...
Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...
As edits shape our politics, USF students must fact-check and avoid letting humor overshadow real human loss. ORACLE GRAPHIC/RACHELL ROSS A song made by artificial intelligence, supposedly created to ...
Objective: Our primary objective was to externally validate our previous machine learning algorithm, the Suicide Artificial Intelligence Prediction Heuristic (SAIPH), against external survey data in 2 ...