Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging

While existing machine learning (ML) frameworks focus on established platforms, like running CUDA on server-grade GPUs, there have been growing demands to enable emerging AI applications in a broader set of scenarios, such as running Large Language Models (LLMs) within browsers and mobile phones. Ho...

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Bibliographic Details

Published in:	Proceedings of the ACM on software engineering Vol. 2; no. ISSTA; pp. 1818 - 1840
Main Authors:	Feng, Siyuan, Liu, Jiawei, Lai, Ruihang, Ruan, Charlie, Yu, Yong, Zhang, Lingming, Chen, Tianqi
Format:	Journal Article
Language:	English
Published:	New York, NY, USA ACM 22.06.2025
Subjects:	Software and its engineering Software testing and debugging Machine Learning Systems Developer Productivity Software Testing
ISSN:	2994-970X, 2994-970X
Online Access:	Get full text
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