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Towards Message Brokers for Generative AI: Survey, Challenges, and
  Opportunities

Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities

22 December 2023
Alaa Saleh
Roberto Morabito
Sasu Tarkoma
Susanna Pirttikangas
Lauri Lovén
ArXivPDFHTML

Papers citing "Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities"

27 / 27 papers shown
Title
Accelerating Large Language Model Training with 4D Parallelism and
  Memory Consumption Estimator
Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator
Kazuki Fujii
Kohei Watanabe
Rio Yokota
66
2
0
10 Nov 2024
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference
Zeyu Zhang
Haiying Shen
VLM
54
1
0
23 Sep 2024
USP: A Unified Sequence Parallelism Approach for Long Context Generative
  AI
USP: A Unified Sequence Parallelism Approach for Long Context Generative AI
Jiarui Fang
Shangchun Zhao
59
21
0
13 May 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
162
56
0
23 Apr 2024
Review of Generative AI Methods in Cybersecurity
Review of Generative AI Methods in Cybersecurity
Yagmur Yigit
William J. Buchanan
Madjid G Tehrani
Leandros A. Maglaras
AAML
121
23
0
13 Mar 2024
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers
  in 6G Wireless Intelligence
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
Abdulkadir Çelik
Ahmed M. Eltawil
AI4CE
44
36
0
02 Feb 2024
Large Multi-Modal Models (LMMs) as Universal Foundation Models for
  AI-Native Wireless Systems
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
Shengzhe Xu
Christo Kurisummoottil Thomas
Omar Hashash
Nikhil Muralidhar
Walid Saad
Naren Ramakrishnan
57
25
0
30 Jan 2024
Holmes: Towards Distributed Training Across Clusters with Heterogeneous
  NIC Environment
Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment
Fei Yang
Shuang Peng
Ning Sun
Fangyu Wang
Ke Tan
Fu Wu
Jiezhong Qiu
Aimin Pan
64
5
0
06 Dec 2023
The Rise and Potential of Large Language Model Based Agents: A Survey
The Rise and Potential of Large Language Model Based Agents: A Survey
Zhiheng Xi
Wenxiang Chen
Xin Guo
Wei He
Yiwen Ding
...
Wenjuan Qin
Yongyan Zheng
Xipeng Qiu
Xuanjing Huan
Tao Gui
LM&MA
LM&Ro
3DV
AI4CE
102
924
0
14 Sep 2023
From Military to Healthcare: Adopting and Expanding Ethical Principles
  for Generative Artificial Intelligence
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence
David Oniani
Jordan Hilsman
Yifan Peng
COL
C. R. K. Poropatich
C. J. C. Pamplin
L. G. L. Legault
Yanshan Wang
AI4TS
47
11
0
04 Aug 2023
Large Language Models Empowered Autonomous Edge AI for Connected
  Intelligence
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
Yifei Shen
Jiawei Shao
Xinjie Zhang
Zehong Lin
Hao Pan
Dongsheng Li
Jun Zhang
Khaled B. Letaief
91
84
0
06 Jul 2023
MLCopilot: Unleashing the Power of Large Language Models in Solving
  Machine Learning Tasks
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
Lei Zhang
Yuge Zhang
Kan Ren
Dongsheng Li
Yuqing Yang
LLMAG
72
39
0
28 Apr 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language
  Model
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
A. Luccioni
S. Viguier
Anne-Laure Ligozat
97
278
0
03 Nov 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
422
2,849
0
06 Oct 2022
PromptCast: A New Prompt-based Learning Paradigm for Time Series
  Forecasting
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue
Flora D.Salim
AI4TS
94
157
0
20 Sep 2022
Language model compression with weighted low-rank factorization
Language model compression with weighted low-rank factorization
Yen-Chang Hsu
Ting Hua
Sung-En Chang
Qiang Lou
Yilin Shen
Hongxia Jin
56
106
0
30 Jun 2022
Measuring the Carbon Intensity of AI in Cloud Instances
Measuring the Carbon Intensity of AI in Cloud Instances
Jesse Dodge
Taylor Prewitt
Rémi Tachet des Combes
Erika Odmark
Roy Schwartz
Emma Strubell
A. Luccioni
Noah A. Smith
Nicole DeCario
Will Buchanan
63
189
0
10 Jun 2022
Machine Learning Operations (MLOps): Overview, Definition, and
  Architecture
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
Dominik Kreuzberger
Niklas Kühl
Sebastian Hirschl
VLM
AI4CE
40
347
0
04 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
59
26
0
03 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
374
3,535
0
29 Apr 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
808
9,351
0
28 Jan 2022
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
135
1,074
0
01 Nov 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
99
405
0
30 Oct 2021
Sequence Parallelism: Long Sequence Training from System Perspective
Sequence Parallelism: Long Sequence Training from System Perspective
Shenggui Li
Fuzhao Xue
Chaitanya Baranwal
Yongbin Li
Yang You
62
98
0
26 May 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
333
671
0
21 Apr 2021
Model Pruning Enables Efficient Federated Learning on Edge Devices
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
62
462
0
26 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Yuxiang Cai
Schahram Dustdar
Albert Y. Zomaya
96
615
0
02 Sep 2019
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