Summary of Magentic-one: a Generalist Multi-agent System For Solving Complex Tasks, by Adam Fourney et al.
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
by Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi
First submitted to arxiv on: 7 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Multiagent Systems (cs.MA)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract introduces Magentic-One, an open-source agentic system that plans, performs multi-step reasoning and actions, responds to novel observations, and recovers from errors. The system consists of a lead agent (Orchestrator) that coordinates specialized agents to perform tasks such as operating a web browser or writing Python code. Magentic-One achieves competitive performance on three challenging benchmarks: GAIA, AssistantBench, and WebArena, demonstrating progress towards generalist agentic systems. Its modular design allows for easy extension to future scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Magentic-One is an artificial intelligence (AI) system that helps humans do tasks better. It’s like a super-smart robot that can plan ahead, figure things out, and fix mistakes when it makes them. Magentic-One has many “helper” agents that work together to get things done. It’s really good at doing complex tasks like using a web browser or writing code. This AI system is special because it doesn’t need to be re-trained or changed just because new agents are added or removed. This makes it easy to use and adapt. |
