An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
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 ...
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 ...
Abstract: Large language models (LLMs), such as GPT-4 have demonstrated their ability to understand natural language and generate complex code snippets. This article introduces a novel LLM ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback