MultiAgentLLM — AI Tool by RichardAragon

by RichardAragon · AI Tool · ★ 60

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About MultiAgentLLM

Multi Agent Language Learning Machine (Multi Agent LLM) (Update) 1/20/2024: Global Fine Tuned Phi Model Located Here: https://huggingface.co/TuringsSolutions/PhiGlobalFineTunedAgent I can complete the second fine tunes for the individual agent actors (Planner, Caller, Observer). I cannot complete the fine tuning process and upload the completed models to HuggingFace due to compute limits. I need more GPUs :( (Update) 1/19/2024: All datasets available at HuggingFace Repo: https://huggingface.co/TuringsSolutions Introduction Welcome to the official repository for the Multi Agent LLM, a faithful recreation of the Small LLMs Are Weak Tool Learners: A Multi-LLM Agent research paper framework under the MIT Open Source License. Our aim is to fine-tune distinct Planner, Caller, and Summarizer Agents capable of completing complex tasks efficiently. This will be completed utilizing 3 Tiny Llama models. Datasets included from the research paper and from the Gorilla release will be utilized to create further synthetic datasets to train the 3 distinct models.

Quick Facts

Stars60
Forks2
CategoryAI Tool
LicenseMIT
Quality Score54.5020221374836/100
Open Issues1
Last Updated2024-01-21
Created2024-01-18
Est. Tokens~3k

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Frequently Asked Questions

What is MultiAgentLLM?

MultiAgentLLM is an open-source ai tool by RichardAragon with 60 GitHub stars.

How do I install or use MultiAgentLLM?

You can find installation instructions and usage details in the MultiAgentLLM GitHub repository at github.com/RichardAragon/MultiAgentLLM. The project has 60 stars and 2 forks, indicating an active community.

What license does MultiAgentLLM use?

MultiAgentLLM is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to MultiAgentLLM?

The top alternatives to MultiAgentLLM on Agent Skills Hub include redesigned-pancake, maui-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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