From f5482f34c33321aed4a85947b88c9bfdcb48e1d0 Mon Sep 17 00:00:00 2001 From: tizkovatereza <135881365+tizkovatereza@users.noreply.github.com> Date: Sun, 8 Oct 2023 13:38:00 -0700 Subject: [PATCH] Update README.md --- README.md | 35 ++++++++++++++++++++++++++++++++--- 1 file changed, 32 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 26d1f44..9b1749f 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,8 @@ @@ -481,22 +482,26 @@ An open-source scheduling assistant built on Cal.com. -## [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
### 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
@@ -1031,6 +1036,30 @@ A minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4 +## [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" + +
+ +### 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) + +
+ + + + + + ## [Multi GPT](https://github.com/rumpfmax/Multi-GPT) An experimental open-source attempt to make GPT-4 fully autonomous