'Multi-Agent-GPT: 一款基于RAG和agent构建的多模态专家助手GPT,集成了文本、图像和音频等模态工具,支持本地部署和私有数据库建设' GitHub: github.com/YangXuanyi/Multi-Agent-GPT #开源##机器学习##人工智能# L爱可可-爱生活的微博视频 小窗口 û收藏 48 4 ñ36 评论 o p 同时...
Multi-Agent-GPT是一款基于RAG和agent构建的多模态专家助手GPT。它集成了文本、图像和音频等多种模态工具,能够更全面地理解和处理用户输入。除了支持基本的文本交互外,还能够处理图片和音频输入,并做出相应的回应。该模型支持本地部署,用户可以在自己的服务器上运行,并且支持私有数据库建设,确保用户数据的隐私和安全。
最近看了一些multi-agent协同框架,这里谈一谈我的个人感受,Agent刚开始出现的时候,代表性的是AutoGPT, BabyAGI(主张一个agent来调用工具来解决复杂的任务),代表方法是ReACT,总体上强调的是Agent使用工具的能力。后面出现了Multi-Agent(这个概念应该是借鉴的强化学习里面的Multi-agent),侧重角色扮演(通过写prompt给Agent...
MetaGPT是一个突破性的框架,它将多个 AI 模型整合在一起,共同工作,模仿现实世界公司的运作,MetaGPT 在模拟软件开发流程方面表现出色,它模拟了软件公司的结构,为产品经理、架构师和工程师等人工智能智能体分配了不同的角色。 MetaGPT 代表一种多智能体框架,它利用多个 GPT(生成式预训练 Transformer)模型,每个模型都...
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations. - gpt-researcher/multi_agents/agent.py at master · assafelovic/gpt-researcher
共1个版本 摘要原文 Generative AI faces many challenges when entering the product design workflow, such as interface usability and interaction patterns. Therefore, based on design thinking and design process, we developed the DesignGPT multi-agent collaboration framework, which uses artificial intelligence...
通过prompt提示词,结合Agent工作流,让多个智能体成为虚拟团队,它们相互协作,互相配合,增强对话。你会获得强大的设计模式,智能水平远高于已有大模型。#AiAgent#AiAgent#ChatGPT#MultiagentCollaboration 60 1 26 11 发布时间:2024-03-30 13:36 粉丝1.2万获赞5.7万 ...
Building Multi-Agent Software Development Team with Semantic Kernel and GPT-4o We’ll explore the exciting world of building AI agents using Semantic Kernel and the OpenAI Assistant API. We’ll simulate a collaborative development process, outlining the roles of key...
Therefore, we introduce MetaGPT, an innovative framework that incorporates efficient human workflows as a meta programming approach into LLM-based multi-agent collaboration. Specifically, MetaGPT encodes Standardized Operating Procedures (SOPs) into prompts to enhance structured coordination. Subsequently, it...
Multi-agent pathfinding (MAPF) is a challenging computational problem that typically requires to find collision-free paths for multiple agents in a shared environment. Solving MAPF optimally is NP-hard, yet efficient solutions are critical for numerous applications, including automated warehouses and tra...