This cookbook repository helps you get started with using models developed by Cisco Foundation AI team.
It will cover many security related use cases, deployment options, practical adaption approaches like finetuning and so forth.
For a high-level overview of the cookbook, please refer to our blog post of introduction to the cookbook.
Foundation AI is a pioneering team within Cisco Security, created by leading experts in artificial intelligence and cybersecurity who joined Cisco through the acquisition of Robust Intelligence. Our mission is to push the boundaries of what's possible at the intersection of AI and security.
We develop cutting-edge open source models and tools designed to elevate the future of cybersecurity. From securing today's digital infrastructure to anticipating tomorrow's AI-driven challenges, Foundation AI is shaping a more secure, intelligent future.
- Foundation AI's Website: we continuously publish blogs with the latest updates on our products and research.
- Hugging Face: download our models from the platform.
Follow our LinkedIn page for updates.
Interested in preview-mode models? Request early access using the form!
This cookbook is organized into the following four main categories. Please refer to each section for detailed guidance.
- Quickstarts: Guides to quickly download and use models for introductory topics.
- Examples: Several use cases of cybersecurity demonstrating how to fully utilize our models.
- Adoptions: Notebooks and scripts to use the models in production.
- Finetunings: Finetuning pipelines for the base model for specific tasks.
- Quantized models: Quantized models for light-weight inference.
- Deployments: Sample deployments scripts for several platforms.
- Documents: Useful documents and links.
We appreciate your contributions! If you have questions, suggestions (including missing use cases), or notice any issues, please open an issue, start a discussion, or submit a pull request.