Multi-Agent System 多智能体系统Multi-Agent systems areLLMapplications that are changing the automation...
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The idea behind multi-agent architecture is to create agents, with different contexts to bring in different perspective, by the role they play. Though they might be using the same LLM, but due to the role, goal and the context that is defined for that agent, they behave different. Just l...
参考: https://newsletter.victordibia.com/p/multi-agent-llm-applications-a-review#§research-and-tools-for-multi-agent-llm-systems
We present AutoGen, an open-source framework that allows developers to build LLM applications by composing multiple agents to converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes tha
LazyLLM is a low-code development tool for building multi-agent LLMs(large language models) applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization. LazyLLM offers a convenient workflow for application building and provides...
Start building LLM-empowered multi-agent applications in an easier way. doc.agentscope.io/ Topics agent drag-and-drop chatbot multi-agent multi-modal distributed-agents gpt-4 large-language-models llm llm-agent llama3 gpt-4o Resources Readme License Apache-2.0 license Activity Custom pr...
1. LLMS Large language models are the basic block of modern multi agent systems. These deep learning AI models can process, interpret, and respond just like humans, which is necessary when converting datasets from one format to another and analyzing complex queries. ...
researcher.prompty Includes the large language model (LLM) base prompt, the agent description, model details, and the functions.json tool parameter. researcher.py Contains the code for the functions described in functions.json. Has functions to pass user instructions, the researcher.prompty file, ...
03 Multi-Agent-as-a-Service (MAaaS) 这次,让我们借鉴云应用领域(cloud-based applications)的最佳实践,重新思考如何在生产系统中设计 AI Agents: 明确的职责范围:每个 Agents 都应该有一个定义明确且职责范围较小的工作领域,并明确其功能界限。通过这种模块化方法,AI Agents 能够更准确的执行任务,且更易于管理和...