Overview
Discover how to evaluate and select the right LLM for your use case through Trellix's framework for continuous model scoring, optimizing AI decision-making in cybersecurity with strategic prompt management.
Syllabus
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- Introduction to GenAI Decision Making
-- Overview of Generative AI in Cybersecurity
-- Importance of Model Evaluation and Selection
- Understanding Scoring Models
-- Introduction to Trellix's Framework for Model Scoring
-- Key Metrics for Model Evaluation
-- Continuous Scoring Methodologies
- Selecting the Right LLM for Your Use Case
-- Factors to Consider in Model Selection
-- Evaluating Model Performance Across Various Domains
-- Case Studies and Practical Examples
- Optimizing AI Decision-Making
-- Strategies for Effective AI Deployment
-- Balancing Accuracy and Efficiency in Decision-Making
-- Ethical Considerations in AI Decisions
- Strategic Prompt Management
-- Designing Effective Prompts for AI Models
-- Analyzing Prompt Impact on Model Output
-- Iterative Improvement of Prompts
- Practical Applications in Cybersecurity
-- Real-world Use Cases and Scenarios
-- Enhancing Cyber Defense through AI
-- Role of AI in Threat Detection and Response
- Tools and Technologies
-- Overview of AI Tools Used in Cybersecurity
-- Implementing Scoring Models and Prompts
- Final Project
-- Develop a Model Scoring and Prompt Optimization Strategy
-- Presenting and Critiquing Solutions
- Conclusion and Future Trends
-- Emerging Trends in AI and Cybersecurity
-- Future Directions for GenAI Development
Taught by
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On-Demand
