README.md

---
title: Groq MoA - Mixture of Agents
emoji: 💻
colorFrom: blue
colorTo: gray
sdk: docker
pinned: false
license: apache-2.0
app_port: 8051
short_description: Deployment of the skapadia3214/groq-moa repo
---

# Repo deployment
[skapadia3214/groq-moa](https://github.com/skapadia3214/groq-moa.git)

All of the following information comes directly from this repo.
Only the available models have been modified to incorporate the latest Llama3.1 models.

# Mixture-of-Agents Demo Powered by Groq

This Streamlit application showcases the Mixture of Agents (MOA) architecture proposed by Together AI, powered by Groq LLMs. It allows users to interact with a configurable multi-agent system for enhanced AI-driven conversations.

![MOA Architecture](./static/moa_groq.svg)
*Source: Adaptation of [Together AI Blog - Mixture of Agents](https://www.together.ai/blog/together-moa)*

## Acknowledgements

- [Groq](https://groq.com/) for providing the underlying language models
- [Together AI](https://www.together.ai/) for proposing the Mixture of Agents architecture and providing the conceptual image
- [Streamlit](https://streamlit.io/) for the web application framework

## Citation

This project implements the Mixture-of-Agents architecture proposed in the following paper:

```
@article{wang2024mixture,
  title={Mixture-of-Agents Enhances Large Language Model Capabilities},
  author={Wang, Junlin and Wang, Jue and Athiwaratkun, Ben and Zhang, Ce and Zou, James},
  journal={arXiv preprint arXiv:2406.04692},
  year={2024}
}
```

For more information about the Mixture-of-Agents concept, please refer to the [original research paper](https://arxiv.org/abs/2406.04692) and the [Together AI blog post](https://www.together.ai/blog/together-moa).