Tests on GPT and Claude found they ignored invented spells Fumbus and Driplo; training data can override new input, trust ...
7h
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
Abstract: UWB TDoA localization accuracy degrades in industrial non-line-of-sight (NLOS) environments, where traditional methods of excluding NLOS links are often infeasible and degrade geometric ...
Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or ...
XDA Developers on MSN
I run local LLMs in one of the world's priciest energy markets, and I can barely tell
They really don't cost as much as you think to run.
Abstract: With the emergence of the Ransomware-as-aService (RaaS), ransomware threats became more destructive by encrypting files and holding them for ransom, rendering ransomware detection crucially ...
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