Eloquent: A More Robust Transmission Scheme for LLM Token Streaming-Reference-Cited by-同舟云学术

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Eloquent: A More Robust Transmission Scheme for LLM Token Streaming

Published:2024-08-04 Issue: Volume:3550 Page:34-40
ISSN:
Container-title:Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing
language:
Short-container-title:

Author:

Li Hanchen¹^ORCID,Liu Yuhan¹^ORCID,Cheng Yihua¹^ORCID,Ray Siddhant¹^ORCID,Du Kuntai¹^ORCID,Jiang Junchen¹^ORCID

Affiliation:

1. University of Chicago

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3672198.3673797

Reference42 articles.

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2. 5 Big Wireless Challenges: Signal Loss, Movement, Reach, Densification and Multipath Fading. https://www.belden.com/blogs/smart-building/5-big-wireles s-challenges-signal-loss-movement-reach-densification-and-multipath-fading/, 2020.

3. API Reference - OpenAI API. https://platform.openai.com/docs/api-reference/chat/create, 2023.

4. Bring Gen AI & LLMs to Your Data. https://www.snowflake.com/blog/generative-ai-llms-summit-2023/, 2023.

5. Global Large Language Model(LLM) Market Research Report 2023. https://reports.valuates.com/market-reports/QYRE-Auto-30B13652/global-large-language- model- llm, 2023.

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