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Compound AI Systems, integrating multiple interacting components like models, retrievers, and external tools, have emerged as essential for addressing complex AI tasks.
Query Optimization in Database Systems
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Cloud programming simplified: A berkeley view on serverless computing
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Learning Transferable Visual Models From Natural Language Supervision
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Ion Stoica and Scott Shenker. 2021 · 2021
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NVIDIA H100 Tensor Core GPU Datasheet
NVIDIA Corporation. 2022 · 2022
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LlamaIndex
Jerry Liu. 2022 · 2022
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Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022
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FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, and James Zou. 2023 · 2023
Cited alongside, same era.
Norman P. Jouppi, George Kurian, Sheng Li, Peter Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, and David Patterson. 2023 · 2023
Cited alongside, same era.
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition
Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna Puvvada, Ankur Kumar, Jagadeesh Balam, and Boris Ginsburg. 2023 · 2023
Cited alongside, same era.
Unleashing True Utility Computing with Quicksand. In Proceedings of the 19th Workshop on Hot Topics in Operating Systems (Providence, RI, USA) (HOTOS ’23) . Association for Computing Machinery, New York, NY, USA, 196–205
Zhenyuan Ruan, Shihang Li, Kaiyan Fan, Marcos K. Aguilera, Adam Belay, Seo Jin Park, and Malte Schwarzkopf. 2023 · 2023
LangChain
LangChain. 2024 · 2024
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A Declarative System for Optimizing AI Workloads
Chunwei Liu, Matthew Russo, Michael Cafarella, Lei Cao, Peter Baille Chen, Zui Chen, Michael Franklin, Tim Kraska, Samuel Madden, and Gerardo Vitagliano. 2024 · 2024
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Databases Unbound: Querying All of the World’s Bytes with AI
Samuel Madden, Michael Cafarella, Michael Franklin, and Tim Kraska. 2024 · 2024
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NVIDIA A100 Tensor Core GPU Datasheet
NVIDIA. 2024 · 2024
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Amazon SageMaker: Build, Train, and Deploy Machine Learning Models at Scale
Amazon Web Services. 2024 · 2024
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The Shift from Models to Compound AI Systems
Matei Zaharia, Omar Khattab, Lingjiao Chen, Jared Quincy Davis, Heather Miller, Chris Potts, James Zou, Michael Carbin, Jonathan Frankle, Naveen Rao, and Ali Ghodsi. 2024 · 2024
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DSPy: The Framework for Programming—Not Prompting—Language Models
Stanford NLP Group. 2023 · 2023
Cited alongside, same era.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
Cited alongside, same era.
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
Cited alongside, same era.
The Design of an LLM-powered Unstructured Analytics System
Eric Anderson, Jonathan Fritz, Austin Lee, Bohou Li, Mark Lindblad, Henry Lindeman, Alex Meyer, Parth Parmar, Tanvi Ranade, Mehul A. Shah, Benjamin Sowell, Dan Tecuci, Vinayak Thapliyal, and Matt Welsh. 2024 · 2024
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Kubernetes Documentation
The Kubernetes Authors. 2024 · 2024
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NVLM: Open Frontier-Class Multimodal LLMs
Wenliang Dai, Nayeon Lee, Boxin Wang, Zhuolin Yang, Zihan Liu, Jon Barker, Tuomas Rintamaki, Mohammad Shoeybi, Bryan Catanzaro, and Wei Ping. 2024 · 2024
Cited alongside, same era.
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, et al · 2024
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Aaron Hurst, Adam Lerer, Adam P. Goucher, Adam Perelman, Aditya Ramesh, et al · 2024
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OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, and Kyusong Lee. 2024 · 2024
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