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Magentic-One: A Generalist Multi-Agent System
The paper titled “Magentic-One: A Generalist Multi-Agent System For Solving Complex Tasks” presents a significant advancement in the field of Artificial Intelligence (AI), particularly in the domain of multi-agent systems.
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Into The Unknown Unknowns
The research paper “Into The Unknown Unknowns: Engaged Human Learning Through Participation In Language Model Agent Conversations” introduces Co-STORM, an innovative system addressing the challenge of discovering unknown unknowns in information seeking.
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Agent-As-A-Judge: Evaluate Agents With Agents
The paper titled “Agent-As-A-Judge: Evaluate Agents With Agents” addresses a critical challenge in the field of Artificial Intelligence (AI) concerning the evaluation methodologies for agentic systems.
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Agent S: An Open Agentic Framework
The rapid advancement of technology has significantly transformed human-computer interaction (HCI), leading to the development of autonomous agents capable of performing complex tasks. These agents are designed to enhance user experience by automating repetitive and intricate processes, thereby improving efficiency and accessibility.
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Automated Design of Agentic Systems (ADAS)
Automated Design of Agentic Systems (ADAS) is an emerging research area that leverages Foundation Models (FMs) to automate the design of complex AI agents. This document provides an in-depth exploration of ADAS, focusing on its core concepts, methodologies, and practical applications. By transitioning from traditional manual design to learned solutions, ADAS enhances the efficiency and…
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Swarm: Agent Orchestration Framework
Swarm is an experimental, educational framework designed to explore ergonomic, lightweight multi-agent orchestration. It focuses on making agent coordination and execution lightweight, highly controllable, and easily testable.
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TaskGen Framework: An Innovative Approach for AI Engineers
TaskGen is an open-sourced agentic framework designed to enhance task execution by decomposing complex challenges into manageable subtasks. This document provides a comprehensive overview of the TaskGen framework, emphasizing its modular architecture, innovative methodologies, and practical applications in AI engineering.
Tag: AGENTIC_FRAMEWORKS
AI architectures for autonomous, goal-oriented systems. Explore designs enabling artificial agents to make decisions and pursue objectives.