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NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Xue, Tengfei, Li, Xuefeng, Smirnov, Roman, Azim, Tahir, Sadrieh, Arash, Pahlavan, Babak
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence I.2.7
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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