Gentopia: A Collaborative Platform for Tool-Augmented LLMs

Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li +5 more
8/8/2023
cs.AI

No official code found. Best implementation: Gentopia-AI/Gentopia (327 stars, MIT, last commit 2023-11-27).

Abstract

Augmented Language Models (ALMs) empower large language models with the ability to use tools, transforming them into intelligent agents for real-world interactions. However, most existing frameworks for ALMs, to varying degrees, are deficient in the following critical features: flexible customization, collaborative democratization, and holistic evaluation. We present gentopia, an ALM framework enabling flexible customization of agents through simple configurations, seamlessly integrating various language models, task formats, prompting modules, and plugins into a unified paradigm. Furthermore, we establish gentpool, a public platform enabling the registration and sharing of user-customized agents. Agents registered in gentpool are composable such that they can be assembled together for agent collaboration, advancing the democratization of artificial intelligence. To ensure high-quality agents, gentbench, an integral component of gentpool, is designed to thoroughly evaluate user-customized agents across diverse aspects such as safety, robustness, efficiency, etc. We release gentopia on Github and will continuously move forward.

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Code Implementations(1)

MIT

Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.

32742Python, MakefileMay 29, 20232 years agoMIT

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Cite this paper

@article{xu2023gentopia,
  title  = {Gentopia: A Collaborative Platform for Tool-Augmented LLMs},
  author = {Binfeng Xu and Xukun Liu and Hua Shen and Zeyu Han and Yuhan Li and Murong Yue and Zhiyuan Peng and Yuchen Liu and Ziyu Yao and Dongkuan Xu},
  year   = {2023},
  eprint = {2308.04030},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.04030v1}
}

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