Self-alignment 作为 AI 领域的一项前沿技术,其核心目标是通过减少人类干预,使大型语言模型(LLM)能够自我优化和调整,以更好地适应各种任务和指令。本系列文章综述了 Self-alignment 的两大实现途径:对齐 Pipline 数据合成和 Multi-agent 对齐。 通过对现有研究的梳理,我们可以看到,无论是利用 LLM 自身生成高质量的...
一、前 LLM 时代的 multi-agent 系统 1.1 multi-agent RL 问题建模 1.2 multi-agent RL 求解范式 二、协作型的 multi-agent 系统 2.1 协作机制 2.2 对话系统 2.3 控制系统 三、竞争型的 multi-agent 系统 3.1 竞争型的解释及其与协作型的比较 3.2 典型的竞争型的案例 参考资料 在上一篇关于 RAG 的讨论中已...
cd ToolBench-multiLLM DATA_DIR="../data/toolbench/data" PLAN_PATH="../GLPFT/saved_models/planner" CAL_PATH="../GLPFT/saved_models/caller" SUM_PATH="../GLPFT/saved_models/summarizer" EXP_NAME="multi-llm-agent" TBKEY="" # your toolbench key for TEST_SET in 'G1_category' 'G1...
We introduce WebWalkerQA, a benchmark for eval-uating LLMs’ web traversal abilities in complex, multi-step information-seeking tasks. We also pro-posed WebWalker, a multi-agent framework that mimics human-like web navigation, combining ex-ploration and critique. Experiments show that Web-Walke...
This full-day workshop seeks to ignite discussion on cutting-edge research areas and challenges associated with multi-agent collaboration driven by large language models (LLMs). As LLMs continue to showcase the ability to coordinate multiple AI agents for complex problem-solving, the workshop will...
Multi-Agent LLM System for Blogging using Crew AI Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP) in recent years. The models, such as GPT4,Llama, BERT, RoBERTa, and XLNet, are trained on vast amounts of text data and can perform a wide ...
公司AI实验室联合《太空杀》项目组研发的“AI残局挑战”玩法,是行业内首个基于多智能体大模型(Multi-Agent LLM)打造的AI原生游戏玩法,标志着公司在AI推动游戏玩法创新方面迈出了重要一步。该玩法中每个AI玩家的发言和决策均由大模型实时生成,无需依赖人类预设内容,AI具备谋略、伪装、欺骗、协作等高智慧行为表现。这...
LLM-based Multi-Agent System 1. 背景介绍 1.1 问题的由来 1.2 研究现状 1.3 研究意义 1.4 本文结构 2. 核心概念与联系 2.1 大语言模型(LLM) 2.2 多智能体系统(MAS) 2.3 LLM在MAS中的应用 3. 核心算法原理 & 具体操作步骤 3.1 算法原理概述
To tackle these challenges, we propose a Multi-Agent LLMs-based framework, LLMAgent-CK, to assess the user responses' coverage of identified CK learning goals without human annotations. By taking advantage of multi-agent LLMs in strong generalization ability and human-like discussions, our ...
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