Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths-Reference-Cited by-同舟云学术

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Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths

Published:2024-08-12 Issue: Volume: Page:367-376
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Tan Xin¹^ORCID,Li Jiamin²^ORCID,Yang Yitao¹^ORCID,Li Jingzong³^ORCID,Xu Hong¹^ORCID

Affiliation:

1. The Chinese University of Hong Kong, China

2. Microsoft, Canada

3. The Hang Seng University of Hong Kong, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673124

Reference51 articles.

1. Amazon autosacling. https://docs.aws.amazon.com/autoscaling/.

2. ChatGPT. https://chat.openai.com/.

3. Dolly. https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm.

4. FasterTransformer. https://github.com/NVIDIA/FasterTransformer.

5. Gurobi Optimization. https://www.gurobi.com/.

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