Installing, Building and Using your own Private Version of ChatGPT
This comprehensive training course will equip participants with the knowledge and skills to leverage machine learning (ML) and artificial intelligence (AI) for security applications. The course begins with an introduction to the principles and fundamentals of ML and AI for security, providing a solid foundation for understanding the subsequent topics.
What you’ll learn
- What is ChatGPT and how to use it.
- What offline versions of GPT exist.
- How to use AI and ML in Security.
- Improving Prompting when using ChatGPT and other solutions.
Course Content
- Introduction –> 8 lectures • 3hr 40min.
Requirements
This comprehensive training course will equip participants with the knowledge and skills to leverage machine learning (ML) and artificial intelligence (AI) for security applications. The course begins with an introduction to the principles and fundamentals of ML and AI for security, providing a solid foundation for understanding the subsequent topics.
Participants will then delve into the intricacies of training models for AI security, exploring the techniques and methodologies involved in developing robust and secure AI systems. The course will also cover the usage of ChatGPT, a powerful AI language model, for security applications. Participants will learn to utilize ChatGPT to enhance security measures, detect anomalies, and respond to threats.
Furthermore, the course will introduce participants to GPT4all, the successor to ChatGPT, and its advanced features. Participants will learn how to leverage GPT4all plugins to enhance search capabilities and gather valuable insights from vast amounts of data.
Securing AI models and data will be a vital course focus, as participants will gain insights into best practices for protecting sensitive information and ensuring the integrity of AI systems. Additionally, participants will learn how to evaluate and monitor AI security systems to identify vulnerabilities and mitigate risks.
Real-world case studies will be examined to provide practical examples of AI security applications. The course will conclude with a discussion on future trends and challenges in AI security, enabling participants to stay ahead of the evolving landscape.