Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration

IF 14 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-10-15 DOI:10.1109/TIV.2024.3476326

Rui Zhou;Jingwei Ge;Jing Yang;Peijun Ye;Yuchen Li;Levente Kovács

引用次数: 0

Abstract

This perspective presents a short yet comprehensive discussion on the rapid advancements in the field of intelligent system testing enhancing by large models. We delve into the pivotal aspects of testing, elucidating the roles of the Testing Operating System (TOS), Testing Foundational Intelligence (TFI), and Testing Scenario Engineering (TSE), and also the challenges they face from a testing perspective.

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定义智力测验新时代的大型模型：简短讨论与探索

本视角简短而全面地讨论了由大型模型推动的智能系统测试领域的快速发展。我们深入探讨了测试的关键方面，阐明了测试操作系统（TOS）、测试基础智能（TFI）和测试场景工程（TSE）的作用，以及它们从测试角度面临的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization

CiteScore

12.10

自引率

13.40%

发文量

177

期刊介绍： The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.