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MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs

Fuente: arXiv

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Bibliographic Details
Main Authors:	Nguyen, Quang H., Dao, Thinh, Hoang, Duy C., Decugis, Juliette, Manchanda, Saurav, Chawla, Nitesh V., Doan, Khoa D.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
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