AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
Preprint | August 2024
AutoGen
An Open-Source Programming Framework for Agentic AI
[email protected]
论文与出版物
按年份分类的论文与出版物
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
-
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
December 2023
December 2023
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
March 2023
按研究领域分类的论文与出版物
-
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
Preprint | August 2024
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
December 2023
December 2023
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
March 2023
-
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
Preprint | August 2024
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
按类型分类的论文与出版物
-
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
Preprint | August 2024
-
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
December 2023
December 2023
-
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
-
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
Chi Wang, Susan Xueqing Liu, Ahmed Awadallah
March 2023