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--- |
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title: Groq MoA - Mixture of Agents |
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emoji: 💻 |
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colorFrom: blue |
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colorTo: gray |
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sdk: docker |
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pinned: false |
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license: apache-2.0 |
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app_port: 8051 |
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short_description: Deployment of the skapadia3214/groq-moa repo |
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--- |
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# Repo deployment |
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[skapadia3214/groq-moa](https://github.com/skapadia3214/groq-moa.git) |
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All of the following information comes directly from this repo. |
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Only the available models have been modified to incorporate the latest Llama3.1 models. |
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# Mixture-of-Agents Demo Powered by Groq |
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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. |
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*Source: Adaptation of [Together AI Blog - Mixture of Agents](https://www.together.ai/blog/together-moa)* |
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## Acknowledgements |
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- [Groq](https://groq.com/) for providing the underlying language models |
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- [Together AI](https://www.together.ai/) for proposing the Mixture of Agents architecture and providing the conceptual image |
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- [Streamlit](https://streamlit.io/) for the web application framework |
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## Citation |
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This project implements the Mixture-of-Agents architecture proposed in the following paper: |
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``` |
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@article{wang2024mixture, |
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title={Mixture-of-Agents Enhances Large Language Model Capabilities}, |
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author={Wang, Junlin and Wang, Jue and Athiwaratkun, Ben and Zhang, Ce and Zou, James}, |
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journal={arXiv preprint arXiv:2406.04692}, |
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year={2024} |
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} |
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``` |
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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). |
