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Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Mushtaq, Abdullah, Naeem, Muhammad Rafay, Ghaznavi, Ibrahim, Taj, Muhammad Imran, Hashmi, Imran, Qadir, Junaid
Format:	Preprint
Publié:	2025
Sujets:	Multiagent Systems Artificial Intelligence Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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