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<!--
TBD:
Add to visual:
- Currently up to date
- MultiAgent Debate
-
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</details>
## [Camel](https://github.com/camel-ai/camel)
## [CAMEL](https://github.com/camel-ai/camel)
An agent architecture for “Mind” Exploration of Large Scale Language Model Society
<details>
### Description
1) AI user agent: give instructions to the AI assistant with the goal of completing the task.
- CAMEL is an open-source library designed for the study of autonomous and communicative agents.
1)AI user agent: give instructions to the AI assistant with the goal of completing the task.
2) AI assistant agent: follow AI user’s instructions and respond with solutions to the task
- CAMEL also has an open-source community dedicated to the study of autonomous and communicative agents
### Links
- [Web](https://www.camel-ai.org/)
- [Paper - CAMEL: Communicative Agents for “Mind”
Exploration of Large Scale Language Model Society](https://ghli.org/camel.pdf)
- [Colab demo](https://colab.research.google.com/drive/1AzP33O8rnMW__7ocWJhVBXjKziJXPtim?usp=sharing)
- [GitHub](https://github.com/camel-ai/camel)
- [Hugging face datasets](https://huggingface.co/camel-ai)
- [Slack](https://camel-kwr1314.slack.com/join/shared_invite/zt-1vy8u9lbo-ZQmhIAyWSEfSwLCl2r2eKA#/shared-invite/email)
- [Twitter](https://twitter.com/intent/follow?original_referer=https%3A%2F%2F1508613885-atari-embeds.googleusercontent.com%2F&ref_src=twsrc%5Etfw%7Ctwcamp%5Ebuttonembed%7Ctwterm%5Efollow%7Ctwgr%5ECamelAIOrg&screen_name=CamelAIOrg)
- Authors: Guohao Li∗ Hasan Abed Al Kader Hammoud* Hani Itani* Dmitrii Khizbullin, Bernard Ghanem
</details>
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</details>
## [Multiagent Debate](https://github.com/composable-models/llm_multiagent_debate)
An implementation of the paper "Improving Factuality and Reasoning in Language Models through Multiagent Debate"
<details>
### Description
- The paper illustrates how we may treat different instances of the same language models as a "multiagent society", where individual language model generate and critique the language generations of other instances of the language model
- The authors find that the final answer generated after such a procedure is both more factually accurate and solves reasoning questions more accurately
- Illustrating the quantitative difference between multiagent debate and single agent generation on different domains in reasoning and factual validity
### Links
- [GitHub](https://github.com/composable-models/llm_multiagent_debate)
- [Project page](https://composable-models.github.io/llm_debate/)
- [Paper](https://arxiv.org/abs/2305.14325)
</details>
## [Multi GPT](https://github.com/rumpfmax/Multi-GPT)
An experimental open-source attempt to make GPT-4 fully autonomous
<details>