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# Coming Soon | ||
<div align="center"> | ||
<h1>Multi-Agent Ebook</h1> | ||
<img src='./images/logo5.png' width=200> | ||
</div> | ||
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<p align="center"> | ||
【🏄 <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>】 | ||
</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"> | ||
<img src='../misc/ebook.png' width=800> | ||
</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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``` | ||
Issue Title: [Ebook New Paper] {Paper Title} | ||
Title: {Title of the Paper} | ||
Authors: {All Authors of the Paper, separated by commas} | ||
Date: {Paper Submission Date for the first version} | ||
Abstract: {Abstract of the Paper} | ||
Url: {Url of the Paper} | ||
Affiliation: {Affiliations of All Authors, separated by commas} | ||
``` |