[2024/02] AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. Zhiwei Liu et al.[paper] [2023/12] Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. Alexander Sasha Vezhnevets et al.[paper] ...
Paper IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems Large Language Models (LLMs) are transforming artificial intelligence, evolving into task-oriented systems capable of autonomous planning and execution. One of the primary applications of LLMs is conversational AI systems...
如果你还有这种疑问说明你的任务复杂度远远不需要使用到Multi-Agent，比如我过去一年的业务就是靠单Agent...
This paper explores the utilization of Large Language Models (LLMs)in Multi-Agent Systems (MAS) in scenarios where the agents are expectedto collaborate and negotiate their preferences, creating temporary alliances to achieve a common goal (complex task). MAS have been acknowledgedfor their ...
对于刚接触到Agent概念的LLM的初学者来说,Multi-Agent这个形态更贴近现实世界企业和团队中的岗位分工,所以更多的初学者会认为Multi-Agent会是一种理所当然的进阶形态。但当初学者们逐渐理解LLM的工作原理和Agent的业务形态之后,质疑Multi-Agent的想法自然就会开始萌发。 Multi-Agent这样的角色划分确实比较接近人类社会的职...
LLM-based multi-agent systems. There is a need to clarify the construction of the system, collate application methods for each module, summarize the diverse application scenarios, and identify the existing challenges and opportunities in this field. This forms the core of our paper, where we ...
InsightLens: Discovering and Exploring Insights from Conversational Contexts in Large-Language-Model-Powered Data Analysishttps://arxiv.org/pdf/2404.01644.pdf 欢迎关注我的公众号“PaperAgent”,每天一篇大模型(LLM)文章来锻炼我们的思维,简单的例子,不简单的方法,提升自己。
Create a citations section with citations for every paper!CommunityJoin the multi-agent community now on discord HERECitations@misc{ong2024routellmlearningroutellms, title={RouteLLM: Learning to Route LLMs with Preference Data}, author={Isaac Ong and Amjad Almahairi and Vincent Wu and Wei-Lin...
The latest breakthroughs in Large Language Models (LLMs), eg., ChatDev, have catalyzed profound transformations, particularly through multi-agent collaboration for software development. LLM agents can collaborate in teams like humans, and follow the waterfall model to sequentially work on requirements ...
In this paper, we present a comprehensive survey of these studies, offering a systematic review of LLM-based MAS. Adhering to the workflow of LLM-based multi-agent systems, we synthesize a general structure encompassing five key components: profile, perception, self-action, mutual interaction, ...