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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Xue, Tengfei, Li, Xuefeng, Smirnov, Roman, Azim, Tahir, Sadrieh, Arash, Pahlavan, Babak
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence I.2.7
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2407.12057