LLM Red Teaming - Methodology for Evaluating LLM
In our upcoming webinar, we will explore cutting-edge methodologies for evaluating the quality & safety of LLMs through a comprehensive Red Teaming approach. We’re thrilled to share that our ongoing webinar series has drawn interest from industry giants like Apple, Samsung, and more!
What You Will Learn:
- Overview of LLM Safety Evaluation: Gain a foundational understanding of why LLM safety evaluation is crucial and the various approaches currently used.
- Red Teaming Defined: Learn about Red Teaming, a proactive security measure, and how it applies to AI systems to identify potential vulnerabilities and threats.
- Use Cases & Real-World Examples: Discover how Red Teaming methodologies are applied in real-world scenarios, including case studies and best practices for identifying AI system weaknesses.
Key Takeaways:
- Comprehensive knowledge of Red Teaming processes and their relevance to LLM safety.
- Practical insights on assessing LLM vulnerabilities using real-life examples.
- Actionable strategies for improving the robustness of your AI models through proactive security evaluations.
