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32 lines
1.8 KiB
Markdown
32 lines
1.8 KiB
Markdown
<div align="center">
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<h1>Multi-Agent Ebook</h1>
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<img src='./images/logo5.png' width=200>
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</div>
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<p align="center">
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【🏄 <a href="https://thinkwee.top/multiagent_ebook/">Go to the Website</a> | 📚 <a href="https://thinkwee.top/multiagent_ebook/#book">Read the Chapters</a> | 🧐 <a href="https://thinkwee.top/multiagent_ebook/#more-works">Learn More about our Research</a>】
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</p>
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## Multi-Agent Ebook
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- **Multi-Agent Ebook** presents an interactive eBook that compiles an extensive collection of research papers on large language model (LLM)-based multi-agent systems. Organized into multiple chapters and continuously updated with significant research, it strives to provide a comprehensive outline for both researchers and enthusiasts in the field. We welcome ongoing contributions to expand and enhance this resource. We thank the open-source templates for building this website ([sparshcodes/bookmark-landing-page](https://github.com/sparshcodes/bookmark-landing-page) and [fchavonet/web-flip_book](https://github.com/fchavonet/web-flip_book)).
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<p align="center">
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<img src='../misc/ebook.png' width=800>
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</p>
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## How to Contribute
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- **Multi-Agent Ebook** is fully open-source and we welcome everyone to collaboratively build and enhance this repository. You can add a new page to the Ebook by creating an issue! Please follow the format below to submit an issue for adding a paper related to LLM Multi-Agent to the Ebook, and we will process and merge it as soon as possible!
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```
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Issue Title: [Ebook New Paper] {Paper Title}
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Title: {Title of the Paper}
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Authors: {All Authors of the Paper, separated by commas}
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Date: {Paper Submission Date for the first version}
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Abstract: {Abstract of the Paper}
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Url: {Url of the Paper}
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Affiliation: {Affiliations of All Authors, separated by commas}
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```
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