Byleveraging the strengths of RAG and DoT, the LLM-agentcan autonomously execute remediation measures, therebyfreeing up engineering resources to focus on more complexand value-driven tasks. Our research underscores thetransformative potential of combining AI-driven diagnosticswith practical deployment ...
Mountain Kylin:[LLM-Agents]详解Agent中工具使用Workflow Mountain Kylin:[LLM-Agents]浅析Agent工具使用框架:MM-ReAct 规划使用大语言模型自主决策如何拆分任务来完成更大或者更复杂的任务。 Planning is a keyagentic AI design patternin which we use a large language model (LLM) to autonomously decide on what...
#for setting up an enviornmnet in which a ReAct agent can run autonomouslyfrom langchain.agents import initialize_agent #For defining tools to give to a language modelfrom langchain.agents import Tool #For defining the type of agent#there's not a lot of great documentation about agents in ...
2.LLM Agents can Autonomously Hack Websitespre-print2024ApplicationsN/ATBD 3.An Overview of Catastrophic AI Riskspre-print2023GeneralN/ATBD 4.Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilitiespre-print2023GeneralN/ATBD ...
三、行动代理Action Agents 在代理行为领域有两篇大论文: 做我能做的,而不是我说的:基于机器人能力的语言 WebGPT:带有人工反馈的浏览器辅助问答 两者的核心理念是相同的;使语言模型能够与工具进行交互,从而使它们能够理解世界。让我们简要介绍每种方法。 四、SayCan “做我能做的事,而不是像我说的那样”这篇论...
SayCan架构要求每个可能的动作与一个价值函数配对。价值函数输出一个动作成功执行的概率,从而定义了机器人“能”做什么。在这个示例中,“捡起苹果”不太可能成功,大概是因为机器人视野中没有苹果,因此“找到一个苹果”更为可行。计算某个动作可行性有几种方法;一种常见的方法是“优势演员评论家”,通常缩写为A2C。这...
Looking into possible use cases for LLM agents, we can find LLMs built for at least two types of needs: there are agents built for conversational use, as well as task-oriented agents that work on inputs and outputs, and can for example autonomously interact with external APIs both as reso...
This can allow the user to create ... BA Myers,R Mcdaniel - 《Your Wish Is My Command》 被引量: 25发表: 2001年 Attentional Agents and robot control Summary: A new approach based on attention control ideas is presented. We introduce the framework of attentional agents as the theoretical ...
[76,77]. Such messages are generally autonomously generated by the interacting agents, though occasionally they may be produced by additional LLMs as control signals directed to specific agents. Serving as the primary medium for inter-agent communication and interaction, these messages predominantly ...
Thanks to the impressive planning, reasoning, and tool-calling capabilities of Large Language Models (LLMs), people are actively studying and developingLLM-powered agents.These agents are possible to autonomously (and collaboratively) solve complex tasks, or simulate human interactions. ...