What you’ll learn
In this white paper, our experts will cover:
- Technical foundations and the risks of generative AI
- Identifying risks
- Reference architecture
- Hosting
- LLMs, training data, fine-tuning data, and licenses
- Risk landscape for large language models
- Data handling and security controls
- Data and model classification
- LLMs, prompts, and injection vulnerabilities
- Fine-tuning
- Retrieval Augmented Generation
- Fine-grained access controls scenario
- Scalability and infrastructure
- The many layers of security
- Organizational legal framework