UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, but their deployment in resource-constrained environments remains challenging due to substantial ...
The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.
Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY ...
According to Moderne, this extends OpenRewrite coverage from backend and frontend application code into the data and AI layer ...
Abstract: This paper focuses on the problem of AIGC video script generation and visual collaborative optimization, proposes a video script generation algorithm guided by semantics and vision, and ...
This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.
Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...
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