Generally speaking, AI poisoning refers to the process of teaching an AI model wrong lessons on purpose. The goal is to ...
Learn how MCP is transforming AI workflows, offering scalable solutions for developers and enthusiasts alike. It accelerates AI system deployment ...
Abstract: High-precision systems modeling is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various conditions. In ...
New research shows large language models rival humans in learning logic-based rules, reshaping how we understand reasoning.
At SlatorCon Silicon Valley 2025, Cohere’s Multilingual Team Lead Kelly Marchisio delivered one of the most well-received presentations of the day: an accessible, behind-the-scenes look at how to ...
A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems
Abstract: Increased reliance on automation and connectivity exposes transportation cyber-physical systems (CPS) to many cyber vulnerabilities. Existing threat modeling frameworks are often narrow in ...
In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.
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 ...
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