Welcome to the official GitHub repository of The Attic AI! We specialize in developing advanced artificial intelligence systems tailored for government and institutional use. Our focus is on creating custom targeted language and vision models that are engineered to perform specific tasks or sequences of tasks efficiently and effectively.

The Attic AI is at the forefront of AI technology, dedicated to delivering high-precision, task-specific AI models to enhance operational efficiencies in government and institutional settings. Our team comprises experts in AI research, machine learning, data science, and software engineering, committed to innovating and transforming how institutions engage with technology.

Our products include a range of specialized AI models designed to meet the unique needs of our clients:

• Custom Language Models: Tailored for natural language processing tasks including but not limited to text analysis, translation, and automated report generation.

• Vision Models: Developed for image recognition, surveillance, traffic management, and other visual data interpretation tasks.

• Integrated AI Systems: Comprehensive solutions combining multiple AI technologies to address complex challenges.

• Knowledge Interaction Systems: Developed for simple, instant access to corporate knowledge across siloed information.

• The Attic ACQ: A comprehesive AI acquisitions suite to help with writing government proposals and grants.

We utilize a variety of technologies and frameworks to build our AI models, including:

• TensorFlow
• PyTorch
• Custom AI Models
• Computer Vision Libraries (e.g., OpenCV, PIL)

To get started with our projects, clone the repository and follow the setup instructions in each project directory.

git clone https://github.com/AtticAI/official-repo.git
cd official-repo
# Follow specific project setup instructions

We welcome contributions from the community. If you're looking to contribute, please follow the guidelines in the CONTRIBUTING.md file.

All our projects are licensed under the MIT License unless otherwise specified. See the LICENSE file for details.

For more information, please visit our website or contact us directly at [email protected].