Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...
With the widespread deployment of long-context large language models (LLMs), efficient and high-quality generation is becoming increasingly important. Modern LLMs employ batching and key-value (KV) ...
Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that solved a complex physics problem thousands of times faster than the world's ...
A new variant of the FileFix social engineering attack uses cache smuggling to secretly download a malicious ZIP archive onto a victim’s system and bypassing security software. The new phishing and ...
Abstract: Large language models (LLMs) are increasingly utilized for complex tasks requiring longer context lengths, with some models supporting up to 128K or 1M tokens. This trend, however, presents ...
File Compressor v2 is an advanced, user-friendly web application for compressing and decompressing files using both Huffman Coding and Lempel–Ziv (LZ77/LZW) algorithms. Designed with efficiency in ...
College of Rail Transit Locomotive and Rolling Stock, Hunan Railway Professional Technology College, Zhuzhou, China. Many people have made efforts to design and improve high-performance FIR filters, ...
Our group is currently working on energy-efficient computer vision and multimodal deep learning for a wide range of applications (e.g., smart healthcare). We focus on cutting-edge research including i ...
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