A guide to identifying and mitigating vulnerabilities in Large Language Models through adversarial testing. Learn practical red teaming techniques for AI safety and security.
Prerequisites: LLM basics, security principles.
Level: Intermediate
LLM Red Teaming Fundamentals
Understand the objectives, importance, and lifecycle of LLM red teaming.
Vulnerability Identification
Identify common vulnerabilities, attack surfaces, and threat models specific to Large Language Models.
Adversarial Testing Techniques
Apply various manual and automated techniques for adversarial testing of LLMs.
Mitigation and Reporting
Develop strategies for reporting findings and recommending effective mitigation measures.
Practical Application
Gain hands-on experience in designing and executing red team operations for LLMs.
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