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Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Varzaneh, Mostafa, Voladoddi, Pooja, Bakshi, Tanmay, Gunturi, Uma
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence 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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